85
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Exploring the Use of Orientation-Independent Inelastic Spectral Displacements in the Seismic Assessment of Bridges

ORCID Icon & ORCID Icon
Received 22 Jun 2023, Accepted 09 Apr 2024, Published online: 22 Apr 2024
 

ABSTRACT

Seismic intensity measures (IMs) provide a link between the seismic hazard and the dynamic response of structures subjected to earthquake shaking. The spectral acceleration at the first and usually dominant vibration mode, Sa(T1), is a popular choice for building structures. Meanwhile, the IM selection for bridges is non-trivial since they do not typically possess a single dominant mode. Even for ordinary bridges with a dominant mode, the behavior can change significantly in each principal direction through the activation, or yielding, of its different components. This study examines the performance of a novel IM that incorporates ground motion directionality and structure non-linearity in this context: the nnth percentile of all rotation angles of the inelastic spectral displacement, Sdi,RotDnn. This evaluation is carried out within the context of an ordinary bridge structure and is compared with other conventional IMs used in regional risk assessment of bridges. The case study bridge utilized is a highway overcrossing located in California with two spans and a continuous prestressed reinforced concrete box girder deck section. A large ground motion set was selected from the NGA-West2 database, and incremental dynamic analysis was carried out on the structure to assess the IM performance to characterize collapse. The results indicate that Sdi,RotDnn performs very well compared to other IMs for the bridge structure and could be a prudent choice to characterize inelastic response of bridges with several possible mechanisms in different principal directions. Also, using the RotD50 definition, typically used in ground motion models, showed a 17.3% increase in efficiency compared to RotD100 definition typically used in engineering practice.

Nomenclature

AvgSa=

average spectral acceleration

EDP=

engineering demand parameter

fc=

cut-off frequency of second-order Butterworth low-pass filter

FIV3=

filtered incremental velocity

fn=

natural frequency

GMM=

ground motion model

IDA=

incremental dynamic analysis

IM=

intensity measure

IVs=

incremental velocities

Mw=

moment magnitude

N=

Number of spectral accelerations used for the calculation of average spectral acceleration

PBEE=

performance-based earthquake engineering

PGA=

peak ground acceleration

PGD=

peak ground displacement

PGV=

peak ground velocity

PSHA=

probabilistic seismic hazard assessment

R=

strength ratio, also known as force reduction factor

R2=

coefficient of determination

RotDnn=

nnth fractile of a response spectral value for all rotation angles sorted by amplitude

Rrup=

rupture distance

rup=

ground motion rupture parameter

ŝ=

logarithmic mean of collapse intensities from all the ground motions

Sa(T)=

spectral acceleration at period T

Sdi,RotDnn=

nnth percentile of all rotation angles of the inelastic spectral displacement

SDOF=

single-degree-of-freedom

SF=

scaling factor

si=

collapse intensity of the ith ground motion

SRS=

simplified relative sufficiency

T=

oscillation period

tend=

last instant of time of the acceleration time series

U=

translational modal participation factor

ügf=

filtered acceleration time series

Vs(t)=

series of incremental velocities

Vs,30=

time-averaged shear-wave velocity for the top 30 m of soil

Vs,max=

local maximum IVs in Vs(t)

Vs,min=

local minimum IVs in Vs(t)

α·Tn=

time segment duration for the calculation of IV

β=

scalar that controls the fc/fn ratio

β0,s=

y-intercept of the log-linear interpolation

β1,s=

slope of the log-linear interpolation

βEDP|IM=

dispersion of EDP given IM

βIM|rup=

Dispersion of IM given a set of rupture parameters

βRTR=

record-to-record variability

εs=

collapse intensity residuals

εsu=

steel ultimate strain

κ=

SaRotD100/SaRotD50

κi=

Sdi,RotD100/Sdi,RotD50

Φ=

Rotational modal participation factor

Acknowledgments

The work presented in this paper has been developed within the framework of the project “Dipartimenti di Eccellenza”, funded by the Italian Ministry of Education, University and Research at IUSS Pavia. The comments and feedback of Davit Shahnazaryan are also gratefully acknowledged in addition to the discussions with Karim Tarbali during the early development of this research.

Disclosure Statement

No potential conflict of interest was reported by the author(s).

Data Availability Statement

The data and models used as part of this study will be made available upon request.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 258.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.