«Seismic Retrofit» : Challenges,
Opportunities and Cost-Effective
Solutions
Prof. Dr. Ihsan Engin Bal
Keywords for this Presentation
•
Masonry buildings
•
Historical structures
•
Seismic strengthening
Outline
•
Experimental Studies
•
Strengthening of Historical Masonry
•
The test specimen was a frame taken from Mihrimah Mosque, built in the 16th century
by Sinan
•
The specimen was 5.0m long and 5.1m tall. It was 1/5 scale of the main
frame of Mihrimah Mosque
Test Frame
•
Authentic
materials
and
construction
methods are used
•
Metal connectors are placed, covered with
melted lead
•
An outdoor testing facility was built for the experiments
•
The deformations of the structure were monitored with 93 channels
•
Ambient vibration tests were conducted before and after the test
•
Optic measurement system is used to find the strain field at the bottom of the piers
Test Setup
Horizontal Loading
•
An increasing displacement pattern is applied
•
Application of the full pattern required 3 days of testing time
•
The specimen was pushed & pulled up to 2.4% top drift
•
F / W è 22 kN / 130 kN = 17% lateral load coefficient
Experiment –
Deformed Shape @ +2.4% Top Drift
(x5 exaggerated deformed shape)
1
1. Support opening of the main arch
[5.2cm], settlement of the
key-stone [2.6cm], and deformations
at the quarters [-5.7cm @ West
and +3.6cm @ East]
push
East
West
5.7cm
3.6cm
2.6cm
5.2cm
Separation of the main piers
from the small arches
Dislocation of stones
Experiment –
Deformed Shape @ +2.4% Top Drift
Top
Middle Bottom
Damage concentration
Experiment –
Deformed Shape @ +2.4% Top Drift
Push
Slipped vertical
connection
Experiment –
Deformed Shape @ +2.4% Top Drift
Two tie-rods
running parallel
Experiment –
Deformed Shape @ +2.4% Top Drift (x5)
Tension
Compression
Tie rod forces
increase from 10kN
to 73kN in case of
seismic loading
Glossary
Capacity
Demanded by
the Design EQ
Initial Capacity
Reduced Capacity (Small EQs, aging, etc.)
Improved Capacity after Repair
Strengthening
Repair
St
ru
ct
ur
al
Ca
pa
ci
ty
Is
it
ne
ce
ss
ar
y ?
?
Seismic Strengthening
•
60s-90s mostly RC jacketing
shotcrete, bracing
Trend in Seismic Strengthening
RC Jacketing & Shear Walls
Shotcrete on infill walls
Seismic Strengthening
•
Post-90s self-compacting concrete, FRP technologies
seismic isolation, dampers
Trend in Seismic Strengthening
Beyazıt Mosque, İstanbul
• Built between 1501 and 1506, Beyazit is the oldest royal mosque
(funded by Sultan himself) in Istanbul the architect of which, Hayrettin,
had the Byzantine monument Hagia Sophia as an example.
The mosque contains four great brick and cut-stone composed arches,
springing from four stone piers that offer primary support to a central dome
with 16.8m diameter and 36.5m height and to two semi-domes.
Beyazıt Mosque – Structural Properties
S6 Storng Arch (Brick+Stone) Semi Dome Original : Weak Arch (Brick)
Existing : Strong Arch (Brick + Stone)
Central Dome 45.40 m 43.50 m N Column Extension
•Stone elements have been attached
to eachother by led-covered iron ties.
Beyazıt Mosque – Structural Properties
(contd.)
Engineering is
details at the end
•The mosque was completed in 1506 and experienced the most destructive
earthquake in Istanbulʼs recorded history in 1509. Researchers note that the
main dome and semi-domes fell down partly.
•The structure has experienced 6 earthquakes with magnitude larger than 7
occurred in distances between 30 and 130 km, since it was built.
•Researchers indicate that the structure is constructed over a 48-m deep clay
soil deposit having high plasticity, leading thus high earthquake amplification
even during high amplitude of accelerations.
Comparison among Beyazit – H.Sophia - Süleymaniye
S6 Güçlü Kemer Yarım Kubbe Orijinal : Zayıf Kemer Mevcut : Güçlü Kemer Merkezi Kubbe 45.40 m 43.50 N Merkezi Kubbe Yarım Kubbe Güçlü Kemer Güçlü Kemer 61.50 m 59.30 N N Merkezi Kubbe Yarım Kubbe 72.30 m 78.10 Zayıf Kemer Güçlü KemerHagia Sophia Beyazıt Süleymaniye
However, the weakness of the “weak arch” phenomenon was corrected
by Sinan in Süleymaniye !
The most pronounced similarity among these three structures is the structural
truss as four main piers, two semi domes settled on arches and two
perpendicular arches. The similarity of the direction of the framing system
drags the structures to the same destiny during an EQ.
0 1 2 3 4 5 Da m ag e S ta te (EMS sca le , 1 9 9 2 ) 1509 1729 1754 1766 1894 1999 Year of Earthquakes
Damage History of Beyazıt Mosque
It should be noted that the earthquake direction is not the sole determining
parameter of the damage; however, a distinction of the effect of the
direction is easily made
N 1766, Ms=7.2 30 km, Damage : 3 1509, Ms=7.6 47 km, Damage : 4 1894, Ms=7.0 105 km, Damage : 3 1719, Ms=7.6 175 km, Damage : 2 1754, Ms=7.0 147 km, Damage : 2 1999, Ms=7.8 115 km, Damage : 2 Increasing Damage Direction of the weak arch
Retrofitting by Sinan
•The retrofitting is perfectly covered and therefore it was not known till a
restoration in mid-70ʼs. The retrofitting is referred only in a historical source
which was authored by Sinanʼs best friend.
•The only operation conducted during the retrofitting is the strengthening of
the weak arches and associated columns, to authorʼs knowledge.
S6 Storng Arch (Brick+Stone) Semi Dome Original : Weak Arch (Brick)
Existing : Strong Arch (Brick + Stone)
Central Dome 45.40 m 43.50 m N Column Extension
Hagia Sophia was also retrofitted by Sinan, at the same time with Beyazit
Mosque. The concept is the same since the deficiency is identical in both
structures :
“Prevent the weak arches from opening!”
Weak arch
Strong arch
•There are three different arches below the original circular arch
•Key point of this retrofitting is the shape of the additional arch. Because,
the
structural concern which forced the designer to oppose the architectural
compatibility is the reason behind the retrofitting!
•One theory is that the reason behind adding a steep arch is just architectural
Retrofitting by Sinan
(contd.)
•Another theory is that Sinan was concerned about not decerasing the available
distance between two columns and found such a geometrical trick
• Our Theory :
His main concern was to prevent the drum of the dome from
•The answer is hidden among the pages of structural statics books.
•The most known arch forms and their purposes of use are given below;
Kendi ağırlığı veya sabit yayılı yük
Çevresel sabit yayılı yük
Çevresel sabit yayılı yüke eklenmiş uç kuvvet
Retrofitting by Sinan
(contd.)
Formed under its own
self weight Hydrostatic pressure pressure + a tip load at Hydrostatic the crown level
Inverted wire-loading
Retrofitting by Sinan
(contd.)
0.00 0.10 0.20 0.30 0.40 0.50 0 0.1 0.2 0.3 0.4Crown Lateral Displacement (m)
PG
A
(g
)
Retrofitted (after 1574) Original (before 1571)
0.00 0.10 0.20 0.30 0.40 0.50 0 0.05 0.1 0.15 0.2
Column Top Displacement (m)
PG
A
(g
)
Retrofitted (after 1574) Original (before 1571)
•Simplified
pushover
analysis
results
proive
clearer insight to the fact.
•Force
resistance
and
ductility have been almost
doubled.
•The most impressive result of
the retrofitting is that the
differential settlement of the
dome under combined loading
was decreased
6 times.
Seismic Strengthening
•
With an ever enlarging building inventory and with the decarbonisation
process, the old methods are not enough anymore
•
Seismic strengthening now has to be combined with many other demands
of use of buildings (architectural, energy, circular economy etc.)
Trend in Seismic Strengthening
Principles of Seismic Protection
•
Longer peirod of data collection
•
Very well structural documentation of different construction times
•
Longer period of monitoring
•
Much talking vs Less Actual Work
Principles of Seismic Protection
•
60~70% of time à Phase 1: Data Collection
•
15~20% of time à Phase 2: Design & Project Phase
•
15~20% of time à Phase 3: Actual Construction Works
Collection of Data on the Geometry
•
Structural drawings should define the
- Bearing system dimensions
- Materials used
- Connections
- Crack map
- Foundations
Collection of Data on the Material
•
Which part of the structure was built at
which era?
•
What materials were used
•
How are the connections between the
old and the newer?
•
What is the damage history? What
interventions were made?
Collection of Data on the Material
•
Material compositions need to be found, for
mortar, plaster, bricks and stones
•
This is a necessary step for any repair or
strengthening work
•
Material strength is needed for structural
analysis
•
Compression strength, existing stress state
as well as shear strength are possible, but
only with destructive tests
Collection of Monitoring Data
•
Condition monitoring includes all other types of monitoring acitivites
apart from structural monitoring
•
Atmospheric data is in this group of data
•
Measurements on the ground water table are supporting measurements
•
Ground inclinometers are usful for understanding what is happening
with soil layers around the structure
Collection of Monitoring Data
•
Ambient vibration tests are
non-destructive
•
They can be conducted in half a day
•
The results are useful for calibrating
structural models
•
If recorded regularly, information on
detoriation of the structure can also be
collected
Collection of Monitoring Data
•
Accelerometers can be used to detect the period of vibration its change
with atmospheric conditions and aging
•
Displacement sensors can be used for detecting crack development
•
Tiltmeters can be used for detecting soil, retaining wall, or flexible part
movements especially after the earthquakes or in time (without
earthquakes)
Collection of Monitoring Data
Structural Health Monitoring
CAMI INK3A 22/01/2016 22/03/2016 29/04/2016 26/05/2016 25/07/2016 23/09/2016 24/11/2016 De pt h in M et er s 0 5 10 15 20 25 Profile Change in mm -20 -10 0 10 20 CAMI INK3B 22/01/2016 22/03/2016 29/04/2016 26/05/2016 25/07/2016 23/09/2016 24/11/2016 De pt h in M et er s 0 5 10 15 20 25 Profile Change in mm -20 -10 0 10 20
Strengthening
Mortar-binded
AR Glass (open-grid)
Basalt (open-grid)
19/19
Şekil 25. Duvarlarda örnek bazalt uygulaması
Yapıdaki tüm çimento esaslı ekler, sıvalar, duvarlar yapıdan uzaklaştırılacaktır. Yapıda taşıyıcı duvarlarda hidrolik esaslı kireç uygulaması yapılarak, boşluklu olan ve/veya çatlakları bulunan duvarlarda rijitlik ve dayanım artışı sağlanacaktır. Bilgilerinize saygılarımla iletirim. Yrd. Doç. Dr. İhsan Engin BAL İTÜ Deprem Mühendisliği ve Afet Yönetimi Enstitüsü 18/19
Şekil 24. Duvar çatlaklarında dikiş detayı
Bu raporda belirtilen duvarlarda bazalt veya AR glass ile sıva güçlendirmesi yapılacaktır. Bu duvarlarda uygulama şu şekilde yapılacaktır:
• öncelikle mevcut tuğla yüzey temizlenecektir
• bu yüzeye 1-3cm kalınlığında özgününe uygun harç sıva uygulanacaktır • bu sıva halen taze iken, bazalt veya AR glass malzeme bu sıvanın üstüne
veya içerisine yerleştirilecektir (bir örnek için bkz. Şekil 25)
• bazalt veya AR glass malzemenin üzeri de en az 1cm kalınlıkta harç ile kaplanacak ve ardından ince sıva yapılacaktır
Strengthening
Strengthening
Strengthening
Strengthening
Strengthening
14/23
Şekil 17 deki gibi ilave temel u gulamas ger ekle tirilir
Şekil 16 Planda d ar al rnek emel g lama
Şekil 17. Duvar al ip BA emel g lendirme ke i i
2 5 5 2 ap Hidrolik Kireçli Tesviye 10 10 10/20 14 Üst 5 a Ampatman 14 Gövde 2 40 40 40 40 ÖNEML NOT:
1. Ölçüler deği ken olduğu için tüm ölçüler yerinde alınacaktır.
2. Güçlendirme kazıları bina dı arısında birer atlamalı yapılacaktır. Dökülen beton pirizini almadan diğer temel açılmayacaktır.
3. Paslanmaz Çelik Temel altı demirleri temel alt kotundan yakla ık 5 cm üstten 40 cm ara ile tek sıra ve Ø60 mm çapında delinecektir.
4. Ø60 mm çapında delinecek olan delikler, Ø30 mm'lik paslanmaz çelik çubuk geçirildikten sonra dı ı tamir harcı ile doldurulacaktır. Bo luk kalmamasına özen gösterilecektir.
5. Kazı sonrası duvar yüzeyleri temizlenecek, derzleri açılacak, eksik kısımlar özgün karı ımlı harç kullanılarak, özgün malzemesiyle tamamlanacak, temel içerisinde ve dolgu içerisinde kalan tüm yüzeyler beton harcının ta yüzeye yapı maması için özgün sıva harcı ile kaba sıva yapılacaktır.
6.Beton temel yüzeylerine 400 Doz ap yapıldıktan sonra su yalıtımı uygulanacaktır. ap
Temel Altı Kırma Ta (10 cm)
Drenaj Borusu (Geotekstil Keçe Sarımlı)
5Ø14 3Ø14 2Ø14 Ø10/20 ±0.00 ±0.00 14 Alt 3 14 Üst 5 14 Gövde 2 14 Alt 3 L=Deği ken L=Deği ken L=Deği ken 5Ø14 3Ø14 2Ø14 Ø10/20 50 50 Ç KISIM DI KISIM 5Ø14 3Ø14 2Ø14 Ø10/20 Ø30/40 5Ø14 3Ø14 2Ø14 Ø10/20 50 50 50 50 Ana Ta ıyıcı Duvar Özgün Harçlı Kaba sıva
Temel Altı Kırma Ta (10 cm)
Çift kat Geotekstil Keçe Çift kat Geotekstil Keçe Kırma ta Özgün Harçlı Kaba sıva Doğal Toprak Dolgu
Doğal Toprak Grovak Dolgu
L:180cm
10/23 ba langıcına kadar m y kseklikte zemin içerisine de m kadar g m l olarak in a edilmi tir İç duvarlar ise zemin içerisine m kadar g m lm t r Mevcut yapı temellerinin tespiti için muayene çukurları açılmı tır Bu çukurlarda yapı duvarlarının ya ampatmansız olarak zemine indiği veya kısmen ya da tamamen ampatman içeren karı ık bir temel sistemine sahip olduğu tespit edilmi tir bkz Şekil 13).
Mermer s tunlar planda yakla ık x x m boyutlara sahip rme ta tekil temeller zerine oturtulmu tur Şekil 14).
Medrese dı duvarlarından açılıp g zlem yapılan G ney Cephe duvarında ise dı tarafta kısmi bir ampatmana rastlanmı olup bu ampatmanın derzlerinin bo aldığı ve ta larının eksik olduğu veya bazılarının niteliğini yitirdiği ve y k ta ıma g revini icra edemedikleri g r lm t r Şekil 15).
Şekil 13 A n oda i erisinde farkl d ar temelleri
Strengthening
Proper foundations
Load Bearing Wall Filling No pr oper foundation Foundatwidthion with half
Ploa dBe arin g W all w ith ro per Foun datio n
14/23
Şekil 17 deki gibi ilave temel u gulamas ger ekle tirilir
Şekil 16 Planda d ar al rnek emel g lama
Şekil 17. Duvar al ip BA emel g lendirme ke i i
2
5
5
2
ap
Hidrolik Kireçli
Tesviye
10
10
10/20
14 Üst
5
a
Ampatman
14 Gövde
2
40
40
40
40
ÖNEML NOT:
1. Ölçüler deği ken olduğu için tüm ölçüler yerinde alınacaktır.
2. Güçlendirme kazıları bina dı arısında birer atlamalı yapılacaktır. Dökülen beton pirizini almadan diğer
temel açılmayacaktır.
3. Paslanmaz Çelik Temel altı demirleri temel alt kotundan yakla ık 5 cm üstten 40 cm ara ile tek sıra ve
Ø60 mm çapında delinecektir.
4. Ø60 mm çapında delinecek olan delikler, Ø30 mm'lik paslanmaz çelik çubuk geçirildikten sonra dı ı
tamir harcı ile doldurulacaktır. Bo luk kalmamasına özen gösterilecektir.
5. Kazı sonrası duvar yüzeyleri temizlenecek, derzleri açılacak, eksik kısımlar özgün karı ımlı harç
kullanılarak, özgün malzemesiyle tamamlanacak, temel içerisinde ve dolgu içerisinde kalan tüm yüzeyler
beton harcının ta yüzeye yapı maması için özgün sıva harcı ile kaba sıva yapılacaktır.
6.Beton temel yüzeylerine 400 Doz ap yapıldıktan sonra su yalıtımı uygulanacaktır.
ap
Temel Altı Kırma
Ta (10 cm)
Drenaj Borusu (Geotekstil Keçe Sarımlı)
5Ø14 3Ø14 2Ø14 Ø10/20
±0.00
±0.00
14 Alt
3
14 Üst
5
14 Gövde
2
14 Alt
3
L=Deği ken
L=Deği ken
L=Deği ken
5Ø14 3Ø14 2Ø14 Ø10/2050
50
Ç KISIM
DI KISIM
5Ø14 3Ø14 2Ø14 Ø10/20 Ø30/405Ø14
3Ø14
2Ø14
Ø10/20
50
50
50
50
Ana
Ta ıyıcı
Duvar
Özgün Harçlı
Kaba sıva
Temel Altı Kırma
Ta (10 cm)
Çift kat Geotekstil
Keçe
Çift kat
Geotekstil Keçe
Kırma ta
Özgün Harçlı
Kaba sıva
Doğal Toprak Dolgu
Doğal Toprak
Grovak Dolgu
L:180cm
Strengthening
Proper foundations
Natural Soil
Load Bearing
Wall
16/23
Şekil 19 S n al la nda BA emel g lendi me g lama BA emel ke i le i ahada ine Şekil deki gibi ka e a labili
Betonarme temel takviyeleri g n yap birimlerine yap mayacak ekilde araya
koruyucu
g ne uygun ve geri kart labilir tabakalar
g ne uygun s va
tabakas uyguland ktan sonra in a edilecektir S va tabakas horasan olup serpme
ve p r l bir ekilde uygulanacakt r
Temel betonunda yerle menin iyi olmas gerekti inden betona ak kanla t r c
madde kat lmas ve kendinden yerle en beton kullan lmas gerekir.
Temel betonunun mr n u atmak i in beton poro itesini a altan katk lar veya
buna uygun imento tipi kullan lmas nerilir
7. Yapısal İyileştirme Önerileri
Yap da temel iyile tirilip duvar ve s tun yatmalar kontrol alt na al nd ktan sonra
farkl taraflara yatan duvarlar birbirine ba lamak ve yap da b t nl
sa lamak
i in Şekil 20 ve Şekil 21 de g sterilen B model
erinde yap lan anali ler
sonucunda Şekil 22 de verilen gergiler nerilmi tir Bu gergiler AISI316
kalitesinde, 30 mm apl ve iki taraf yivli olarak tertip edilecektir. Bu gergiler
h cre i duvarlar na iki y den paralel gidip i ve d ta UPN160 profil veya
e de eri bir k l olu turacakt r bk Şekil
ve
. Gergiler i in en a mm
apl delik delinecek deli in i i gergi yerle tirildikten sonra hidrolik kire
enjeksiyonu ile doldurulacakt r
50 50 50 Ta Tekil Temel (Mevcut) Ta y c S tun Temel Alt K rma Ta 10 cm Temel Alt Do al Toprak T em el K az Al an c d e 30 paslanmaz çelik çubuk f g 14 5 14 2 14 3 10/20 10/20 50
BA Betonu Alt na Uygun Harçl Kaba S va
11/23
Şekil 14 S emelle i
Dış duvarlarda dışa doğru dönme ve kubbelerden açılmalar gözlemlenmektedir Kolonların bazılarında, özellikle kesişim yerlerindeki kolonlarda düşey aksından eğilmeler gözlemlenmiştir Bu dönmelerin sebepleri deprem ya da farklı yükler kaynaklı yatay yüklerin etkimesi ve dış duvarların bu yüklerden kaynaklanacak dönme momentlerini karşılayacak bir temel sisteminin bulunmaması olarak düşünülebilir
Strengthening
16/23
Şekil 19 S
n al la nda BA emel g lendi me g lama BA emel ke i le i ahada ine Şekil
deki gibi
ka e a labili
Betonarme temel takviyeleri g n yap birimlerine yap mayacak ekilde araya
koruyucu
g ne uygun ve geri kart labilir tabakalar
g ne uygun s va
tabakas uyguland ktan sonra in a edilecektir S va tabakas horasan olup serpme
ve p r l bir ekilde uygulanacakt r
Temel betonunda yerle menin iyi olmas gerekti inden betona ak kanla t r c
madde kat lmas ve kendinden yerle en beton kullan lmas gerekir.
Temel betonunun mr n u atmak i in beton poro itesini a altan katk lar veya
buna uygun imento tipi kullan lmas nerilir
7. Yapısal İyileştirme Önerileri
Yap da temel iyile tirilip duvar ve s tun yatmalar kontrol alt na al nd ktan sonra
farkl taraflara yatan duvarlar birbirine ba lamak ve yap da b t nl
sa lamak
i in Şekil 20 ve Şekil 21 de g sterilen B model
erinde yap lan anali ler
sonucunda Şekil 22 de verilen gergiler nerilmi tir Bu gergiler AISI316
kalitesinde, 30 mm apl ve iki taraf yivli olarak tertip edilecektir. Bu gergiler
h cre i duvarlar na iki y den paralel gidip i ve d ta UPN160 profil veya
e de eri bir k l olu turacakt r bk Şekil
ve
. Gergiler i in en a mm
apl delik delinecek deli in i i gergi yerle tirildikten sonra hidrolik kire
enjeksiyonu ile doldurulacakt r
50
50
50
Ta Tekil
Temel
(Mevcut)
Ta y c
S tun
Temel Alt
K rma Ta 10 cm
Temel Alt
Do al Toprak
T
em
el
K
az
Al
an
c
d
e
30 paslanmaz
çelik çubuk
f
g
14 5 14 2 14 3 10/20 10/2050
BA Betonu Alt na Uygun
Harçl Kaba S va
Natural Soil Under
Foundation
Marble
Column
Fi30 stainless
steel bar
Protective
authentic-like cement-free mortar
below concrete
Existing
stone
masonry
foundation
Before that - A close look in the current sensor technology
Accelerometers
Pieso-electric
Force-balanced
MEMS
Q-MEMS (digital output)
Translational Displacement Sensors
LVDTs
Potentiometers
Other Sensors
Tilt-meters
Velocity-meters (vibrometers)
What we measure in structures ?
•
The structural monitoring may have several purposes, such as:
- Dynamic characterization (OMA)
- Long-term structural health monitoring (SHM)
Dynamic Characterization (OMA)
•
All structures vibrate with amplitudes outside of the range of human
senses
•
These vibration are in extremely small amplitudes, meaning that they
are in elastic range (no damage zone) and can get confused with
ambient noise
•
Structural vibrations are low-frequency, typically in the range of 0.1 to
3-4 seconds fundemental periods, thus filtering the data helps in
processing
Dynamic Characterization - Challenges
•
Good sensor producers shift track to mobile technologies
•
Wireless technologies, surprisingly, are still not problem-free
•
There is need for plug&play technologies
•
There is need for smart data processing
Sensor
Digitizer
Computer
Computer
Max 50-60m
Max. 200m with
ethernet cables
Few meters
Sensor
Digitizer
Long-term Structural Health Monitoring
•
Structures are organisms that move, but very very slowly
•
If we monitor them with sensitive enough sensors for a long enough
time, we can detect this movement
•
Structural Health Monitoring is a long-term investment with very
sensible and useful results, especially for old structures where we
should not be in a hurry anyhow
Example of Long-Term Monitoring
Future of seismic and vibration data collection
5
Figure 2 Active fault map of MTA Turkey [29] and the location of the Eurasia Tunnel Operational Vibrations
The speed limit in the tunnel is 70kph (43mph) and only cars and small vans are allowed in the tunnel Most vehicles travel close to that speed creating peaks at the sensor measurements as they travel.
The upper deck of the tunnel (Figure 3a) is a slender member of the structure generating amplified vibrations from the traffic. The background noise during operation, without a car passage, is within the band of +-1µg. The daily traffic causes acceleration peaks approximately up to +-0.0007g. An example time series from the daily traffic can be seen in Figure 4.
There are two fire trucks (Figure 3b) that are approximately 11ton in weight, heavier than the usual vehicles using the tunnel. These trucks have a patrol duty at night, travelling from one side of the tunnel to the other. They also cause vibrations, which due to their weight are much higher than those of the daily traffic due to their weight. The data show that the fire truck passage can cause vibration levels up to 0.0015g on the installed sensors (Figure 4).
Earthquake
Decision
Support
Example
Application:
Eurasia Tunnel
Future of seismic and vibration data collection
6
Figure 3 Section of the tunnel with upper and the lower decks (a), view from inside the tunnel, above the
upper deck (b) and one of the twin the fire trucks that patrol every night (c)
Figure 4 Time histories of the records from each label with the largest PHA (note that most of the records
in different labels have PHA values close to each other, only the ones with the largest PHA are presented
here for demonstration purposes)
Earthquake
Decision
Support
Example
Application:
Eurasia Tunnel
Future of seismic and vibration data collection
6
Figure 3 Section of the tunnel with upper and the lower decks (a), view from inside the tunnel, above the upper deck (b) and one of the twin the fire trucks that patrol every night (c)
Figure 4 Time histories of the records from each label with the largest PHA (note that most of the records in different labels have PHA values close to each other, only the ones with the largest PHA are presented
here for demonstration purposes)
11
Figure 6 Probability density function of each of the numeric features used in training Training and Validation
Supervised ML methods of SVM, kNN and Ensemble Decision Trees are used for analyses. There are several sub-methods and options within these sub-methods, some of which will be discussed and compared here. In general, more complex options have the tendency to require a higher computational time and performance although for the size of the problem presented here, the overall training and validation time did not exceed some minutes per model. Note that the entire ML framework, from data cleaning and structuring to implementing the best model, is given in Figure 7. It can be seen that there is a considerable amount of work for preparing the final array of values that consists of the extracted features.
SVM is among the first examined methods with the dataset. There are various options of applying the SVMs, but the best result was produced by the cubic SVM. One interesting observation is that, when all 14 features are used, the SVM had a slightly smaller overall success of predictions as compared to the other methods tested (89.3%), but the prediction of the earthquake vibrations alone was even higher than that of the other methods. If the problem is reduced to a binary problem as “earthquake” vs “non-earthquake”, then the SVM method provides the highest accuracy in prediction by 97.0% (see
). In order to compare the performance of the SVM methods with the most successful method, EBS - Ensemble Bagged Trees, the same 9 features are used for another trial. The overall success of SVM decreased to 87.8% while the success in predicting earthquakes was at 95.0%. It should be noted that, although it made only a difference of some minutes in the example predicted here, in relative terms, Cubic SVM is a significantly more computationally demanding method than the EBS, a crucial difference if the dataset and the number of features used are substantially larger.
Future of seismic and vibration data collection
If
properly
trained,
machines can differentiate
earthquakes from other
vibrations
14
Weighted kNN is used as an alternative method of classification. It exhibited the lowest success ratio among the five most successful methods. In implementing the weighted kNN, squared inverse is used as distance weight, while the distance metric was Euclidian. It should be noted the accuracy of the kNN also depends on the user selection of the number of the neighbors, k, that is examined at a time by the algorithm to see in which class the data point falls into. A sensitivity check on this parameter revealed that the selection of k had a minimal effect on the accuracy because k values of 3, 10, 30 and 50 resulted in 84.3%, 84.0% 74.3%, 84.4% and 84.0% overall accuracy, respectively. The accuracy in earthquake prediction alone was 89%, 88%, 53%, 81% and 79%, respectively. It is thus clear that if kNN is to be used, a sensitivity study would be needed to find the optimum k value as the accuracy is not linearly correlated with the k value.
The Ensemble method is another computationally efficient approach that implements decision trees. Both bagging and boosting methods, explained above in detail, are tested here with varying sub-options. The accuracy range of the Ensemble method with different sub-options was between 90% to 95.2% for overall accuracy, and between 94% and 98% for earthquake prediction alone. Ensemble methods are proved to be the most suitable and at the same time the most efficient methods for the problem presented here.
Accuracy of a ML model on different labels is presented with a confusion matrix. The confusion matrix exhibits the class predictions per label versus the true class of each label. A heavily diagonal confusion matrix indicates success in predictions, while off-diagonal numbers represent the prediction errors. A perfect model with 100% accuracy would thus present a confusion matrix with 100% on the diagonal and 0% on the off-diagonal elements. The results of this study are presented also in a confusion matrix, as shown in Figure 8. When calculating the accuracy, cross-validation is used for validating the presented model. Cross-validation is an efficient tool to prevent over-fitting, a modelling defect that renders the model too much dependent on the seen data and not successful for the unseen data. It can be seen in Figure 8 that the prediction of earthquakes alone is 98%, while the prediction of fire truck passage and daily traffic are as accurate as 96% and 94%, respectively. The model is deemed to be reasonably successful for automatically detecting earthquake in the tunnel, by using 9 features only (see
for the selected 9 features).
Figure 8 Confusion matrix of the most accurate model
The features are also evaluated one by one by using the best method, to define what effect they have on the overall and earthquake-alone accuracy. The results are presented in
. When earthquake-alone predictions are considered, the most effective features, in the order of effectiveness, are Difference in Arrival Time (tAD) and the 5% damped Spectral Accelerations at 0.2sec period (Sa02). These two
parameters are able to best differentiate the earthquake vibrations from the rest. In the overall accuracy, the most influential features, in order of effectiveness, are Difference in Arrival Time (tAD), 5% damped Spectral
Accelerations at 0.2sec period (Sa02), Total Arias Intensity (TAI) and the Effective Duration between 5% and 75% of the Arias Intensity plot (t5-75). The last two parameters clearly indicate a pattern difference between the