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Risk-Targeted Design Spectra for Uniform Risk Seismic Design

Seismological Research Letters 2025年第3期96卷 1820-1833页

作者： Wang, Cong Lu, Da-Gang Key Laboratory of Building Structural Retrofitting and Underground Space Engineering Ministry of Education Shandong Jianzhu University Jinan China Key Laboratory of Structural Dynamic Behaviors and Control Ministry of Education Harbin Institute of Technology Harbin China

The uniform hazard response spectrum only considers the seismic hazard of a site, without taking into account the seismic fragility of the structure. As a result, structures designed based on this spectrum may exhibit varying levels of collapse risk under earthquakes in different regions. To this end, first, various cases are employed to determine a first-order approximation of the seismic hazard function H(x), followed by a validation of its rationality. Subsequently, with the objective of achieving uniform collapse risk, considering both seismic hazard and structural fragility, single anchor point, double anchor points, and multiple anchor points methods are proposed to construct the risk-targeted seismic design spectra for frequent earthquake (FE), design basis earthquake (DBE), maximum considered earthquake (MCE), and very rare earthquake (VRE). Furthermore, a comprehensive study is conducted to analyze the risk-targeted seismic design spectra corresponding to different seismic design levels, site classes, and characteristic periods constructed using the multiple anchor points method. In addition, a comparative analysis is conducted on the risk-targeted seismic design spectra constructed using different methods. The study indicates that determining H(x) based on DBE and VRE is reasonable, and the relative difference between the risk-targeted ground motion (RTGM) derived from this case and the RTGM obtained by determining H(x) based on probabilistic seismic hazard analysis is within 4%. The risk-targeted seismic design spectra constructed using three different methods show overall similarity. The single anchor point method offers simplicity in calculations and ensures that the uniform risk seismic design spectrum aligns with the uniform hazard seismic design spectrum in terms of spectral shape. Although the multiple anchor points method involves increased computational effort, it allows for the consideration of seismic hazard at multiple periods. © Seismological

关键词： Risk assessment

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Risk assessment of spatially distributed assets with generalized seismic fragility models based on machine learning

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Soil dynamics and Earthquake Engineering 2025年 198卷

作者： Jia-Wei Ding Da-Gang Lu Zheng-Gang Cao Key Lab of Structural Dynamic Behaviors and Control of the Ministry of Education Harbin Institute of Technology Harbin 150090 China

Urban areas consist of a diverse array of spatially distributed assets, encompassing both infrastructure systems and portfolio buildings, both of which are crucial to enhancing the sustainability and resilience of urban. Addressing the seismic risk within such settings requires a nuanced approach that considers the spatial distribution of assets and the correlation among ground motion intensity measures (GMIMs). This study undertakes finite element modeling of different structural types. Recognizing the distinct sensitivities of GMIMs to these structural types, 5 machine learning (ML) methods are implemented to construct prediction models for seismic responses based on 24 GMIMs. The generalized fragility model and vulnerability model are developed for different structural types. Moreover, the spatial cross-correlation of 24 GMIMs is integrated into a loss assessment framework using geostatistical techniques and principal component analysis. A virtual city is taken as a case study, demonstrating that the generalized fragility model based on ML enhances the accuracy of regional loss assessment and improves traffic connectivity reliability compared to traditional fragility models that consider a single GMIM. In summary, this study presents a comprehensive framework for regional seismic risk assessment, leveraging ML alongside spatial analysis to enhance prediction accuracy and reliability, thus offering valuable insights for urban planning and disaster mitigation efforts.

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Spatial Correlation of Intensity Measures of Mainshock-Aftershock Ground Motion Sequence Pairs

SSRN

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SSRN 2024年

作者： Ding, Jiawei Lu, Dagang Cao, Zheng-Gang School of Civil Engineering Harbin Institute of Technology Harbin China Key Lab of Structural Dynamic Behaviors and Control The Ministry of Education Harbin Institute of Technology Harbin150090 China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters The Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China Key Laboratory of Earthquake Disaster Mitigation The Ministry of Emergency Management Harbin Institute of Technology Harbin150090 China

This manuscript examines spatial correlations among ground motion intensity measures (IMs) for mainshock and aftershock, including spectral acceleration (Sa), peak ground acceleration (PGA), peak ground velocity (PGV), cumulative absolute velocity (CAV), Arias intensity (Ia), significant duration parameters (Ds5-75, Ds5-95), using a suite of 662 mainshock-aftershock ground motion sequence pairs from 13 earthquake sequences in the NGA-West2 ground motion database based on geostatistical tools. Univariate and multivariate normality of intraevent residuals of IMs for the mainshock and aftershock are verified. We proposed Adaptive Weighted Particle Swarm Optimization Algorithm—Inverse Distance Weighting (AWPSO-IDW) fitting method and use the exponential semivariogram model to fit the empirical semivariogram. An improved Monte Carlo random simulation procedure is used to evaluate the stability of the estimation and several fitting methods used in past research. The results show AWPSO-IDW fitting method is more stable and reliable than other methods, and the results show that the spatial correlation range between the mainshock-aftershock ground motions sequence pairs at different periods of spectral acceleration has a similar trend, only have differences in individual spectral acceleration periods, and the model proposed by Jayaram and Baker (2009) has been improved. Finally, this manuscript employs the spatial correlation range between the mainshock and the aftershock to generate an independent regional spatial correlation influence field. It further constructs the conditional generation of the aftershock spatial correlation influence field, considering the known mainshock spatial correlation influence field. This is achieved by adopting multivariate conditional normal characteristics between intensity measures (IMs) for both mainshocks and aftershocks. © 2024, The Authors. All rights reserved.

关键词： Monte Carlo methods

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Seismic spatiotemporal assessment of indoor occupant casualties in regional buildings: A Bayesian network approach incorporating population density dynamics

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International Journal of Disaster Risk Reduction 2025年 126卷

作者： Jia-Wei Ding Da-Gang Lu Yao Dong School of Civil Engineering Harbin Institute of Technology Harbin China Key Lab of Structural Dynamic Behaviors and Control of the Ministry of Education Harbin Institute of Technology Harbin 150090 China

In the context of rapid population growth and accelerated urbanization, the impact of earthquake disasters has intensified, making human casualties a critical concern. Accurate prediction of earthquake-induced casualties is essential for developing emergency response strategies, optimizing rescue resource allocation, and facilitating post-earthquake decision-making. This study employs a Bayesian Networks (BNs) model to systematically integrate information on both structural and non-structural components, as well as social factors, to construct a multifactorial assessment framework. This framework accurately estimates the probability of indoor occupants' life safety status during an earthquake. It considers the effect of population density, escape capability and rescue efficiency on individual safety and develops life safety status fragility surface with ground motion intensity measures and population density. Monte Carlo simulation is utilized to enable real-time prediction of indoor occupant life safety status within a single building structure. The study further extends to regional scale by incorporating the spatial correlation of ground motion intensity measures. This innovation facilitates a dynamic, spatiotemporal assessment of life safety status within a regional building portfolio. The findings highlight the critical role of ground motion intensity measures and population density in assessing indoor occupant casualties. By dynamically monitoring population distribution and real-time updating of ground motion intensity measures, the assessment framework proposed in this study can effectively enhance the accuracy and efficiency of earthquake disaster emergency response, providing a reliable scientific basis for government departments to facilitate rapid rescue operations and optimize resource allocation in the aftermath of an earthquake.

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Progressive collapse mechanism of three-dimensional self-centering precast concrete frame with infill walls and slabs

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Engineering Failure Analysis 2025年

作者： Haoran Wang Shuang Li Feng Lin School of Civil Engineering Shenyang Jianzhu University Shenyang 110168 China Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of Technology Harbin 150090 China Department of Structural Engineering Tongji University Shanghai 200092 China Key Laboratory of Performance Evolution and Control for Engineering Structures of Ministry of Education Shanghai 200092 China

In this study, the effects of infill walls and slabs on the progressive collapse resistance of three-dimension (3D) self-centering precast concrete (PC) frame under corner column failure, middle column failure and internal column failure scenarios were numerically investigated. Based on the verified numerical modeling methods, the failure modes and collapse mechanism of twelve 3D self-centering PC frames were analyzed. The results indicated that the number of spans connected to the failure column will directly influence the progressive collapse resisting-capacity of 3D self-centering PC frames. Compared with slabs, infill walls improved the progressive collapse resistance of 3D self-centering PC frame more obviously. For failure span with small aspect ratio, the presence of infill walls and slabs did not alter the failure mode of the structure. With the aspect ratio of the failure span increased, for 3D self-centering infilled PC frame, the stronger constraint of surrounding frame enhanced the overall stiffness of the infill walls, resulting in a change in the failure mode of the frame. When the slab was arranged, since the larger stiffness of the slabs improved the shear capacity of the beam section, the main concrete damage were still concentrated at the beam ends. A simplified calculation method considering the resistance contribution of structural and non-structural members was proposed to predict the vertical resistance of 3D self-centering PC frame structures under different failure column scenarios in the compressive arch action (CAA) stage.

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Investigation on mapping relationship between deflection and cable tension by artificial neural networks 11

Investigation on mapping relationship between deflection and...

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11th International Workshop on structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017

作者： Tian, Yadi Li, Hui Key Laboratory of Intelligent Disaster Prevention and Mitigation for Civil Infrastructure Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters Ministry of Industry and Information Technology Key Laboratory of Structural Dynamic Behavior and Control School of Civil Engineering Harbin Institute of Technology Harbin150090 China

ISBN: (纸本)9781605953304

Cables usually serve as critical load-bearing structural components in cable-stayed bridges. Vertical deflection is an important overall indicator that directly reflects the health status of bridge. The relationship between cable tension and vertical deflection also reflects the underlying mechanism of structures. In this context, a machine learning-based approach is proposed. Cable tension and vertical deflection are caused by prestress, temperature and vehicle loads. In this study, we focus on the cable force and vertical deflection caused by vehicle loads. Artificial neural network (ANN) is employed as the supervised learning method to learn the relationship between cable tension and vertical deflection. Field monitored data of Jintang Bridge are used to test the validity of the proposed method. The results show that ANN is capable of modelling vertical deflection from cable tension data in the case of arbitrary vehicle distribution. The proposed method which integrates the local and global variables by using two different kinds of monitoring data, avoids the complicated mechanical derivations, and is proved to be environment-insensitive.

关键词： Neural networks

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Modeling of the effect of water ingress on the bond between carbon fiber – Epoxy resin with the molecular dynamics technique 8

Modeling of the effect of water ingress on the bond between ...

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8th International Conference on Fibre-Reinforced Polymer (FRP) Composites in Civil Engineering, CICE 2016

作者： Xiao, Yanrong Xian, Guijun Li, Hui Key Lab of Structural Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Harbin150090 China Harbin150090 China

ISBN: (纸本)9789881448026

FRP (fiber reinforced polymer) has taken advantages of the fiber reinforcement and resin matrix, possessing excellent mechanical properties and corrosive resistances, even in harsh environments. The lack of the knowledge of the durability performances of FRPs in various environmental conditions and the related degradation mechanisms of FRPs leads to significantly conservative design. Water ingress plays a critical effect on the durability of FRP, due to susceptibility of the bond between the fibers and resin matrices. In the present paper, molecular dynamics technique was used to model the moisture effect on the fiber-resin bond. The bonding performances of the epoxy on carbon fibers under dry and wet conditions were simulated. Free energy profiles were calculated to quantify interfacial adhesion. As shown from the decline of binding free energy, the water ingress led to remarkable deterioration of the fiber bonding to the resin matrix. The study is expected to be helpful for both the development of durable FRPs, and to predict the service life of a FRP subjected to hydrothermal aging accurately. Copyright © 2016 Department of Civil and Environmental Engineering & Research Institute for Sustainable Urban Development, The Hong Kong Polytechnic University.

关键词： Molecular dynamics

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Bayesian system identification based on hierarchical sparse Bayesian learning and gibbs sampling with application to structural damage assessment

arXiv

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arXiv 2017年

作者： Huang, Yong Beck, James L. Li, Hui Key Lab of Structural Dynamic Behavior and Control of the Ministry of Education School of Civil Engineering Harbin Institute of Technology Harbin China Division of Engineering and Applied Science California Institute of Technology CA United States

Bayesian system identification has attracted substantial interest in recent years for inferring structural models based on measured dynamic response from a structural dynamical system. The focus in this paper is Bayesian system identification based on noisy incomplete modal data where we can impose spatially-sparse stiffness changes when updating a structural model. To this end, based on a similar hierarchical sparse Bayesian learning model from our previous work, we propose two Gibbs sampling algorithms. The algorithms differ in their strategies to deal with the posterior uncertainty of the equation-error precision parameter, but both sample from the conditional posterior probability density functions (PDFs) for the structural stiffness parameters and system modal parameters. The effective dimension for the Gibbs sampling is low because iterative sampling is done from only three conditional posterior PDFs that correspond to three parameter groups, along with sampling of the equation-error precision parameter from another conditional posterior PDF in one of the algorithms where it is not integrated out as a "nuisance" parameter. A nice feature from a computational perspective is that it is not necessary to solve a nonlinear eigenvalue problem of a structural model. The effectiveness and robustness of the proposed algorithms are illustrated by applying them to the IASE-ASCE Phase II simulated and experimental benchmark studies. The goal is to use incomplete modal data identified before and after possible damage to detect and assess spatially-sparse stiffness reductions induced by any damage. Our past and current focus on meeting challenges arising from Bayesian inference of structural stiffness serve to strengthen the capability of vibration-based structural system identification but our methods also have much broader applicability for inverse problems in science and technology where system matrices are to be inferred from noisy partial information about their eigenq

关键词： Probability density function

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Axial compression performances of concrete filled flax-basalt hybrid fibers reinforced FRP tubes 12

Axial compression performances of concrete filled flax-basal...

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Joint Conference of the 12th International Symposium on Fiber Reinforced Polymers for Reinforced Concrete Structures, FRPRCS 2015 and the 5th Asia-Pacific Conference on Fiber Reinforced Polymers in Structures, APFIS 2015

作者： Xia, Yuanyuan Xian, Guijun Li, Hui Key Lab. of Structural Dynamic Behavior and Control Harbin Institute of Technology Ministry of Education Harbin150090 China School of Civil Engineering Harbin Institute of Technology Harbin150090 China

Flax fiber reinforced polymer (FFRP) composites could be used in civil engineering as structural materials. To improve the mechanical properties and durability of FFRP, flax-basalt hybrid fiber reinforced polymer (HFRP) composite was developed. In the present study, unidirectional HFRP tubes were prepared with a winding process, and the compression performances of the concrete filled HFRP tubes were investigated. HFRP coupon was prepared and tested in tensile properties. The tensile results of the HFRP plate coupons shows linear in stress-strain, and hybrid with basalt fiber enhances the elongation at break remarkably. The tensile strength and modulus of the HFRP follow the rule of mixture. The concrete filled HFRP tubes exhibited much improved ultimate strength and ductility compared to those with the flax fiber tubes. The axial compression stress-strain curves were analyzed with the existing models. The coefficients of confinement of HFRP were higher than those of glass or carbon fiber based FRPs. © APFIS 2015. All rights reserved.

关键词： Fiber reinforced plastics

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Effect of glass fiber fabrics isolation layer on the adhesion bond behaviours between CFRP plates and steel substrates 12

Effect of glass fiber fabrics isolation layer on the adhesio...

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作者： He, Jun Xian, Guijun Li, Hui Key Lab. of Structural Dynamic Behavior and Control Harbin Institute of Technology Ministry of Education Heilongjiang Harbin150090 China School of Civil Engineering Harbin Institute of Technology Heilongjiang Harbin150090 China

Strengthening of steel structures with adhesively bonded carbon fiber-reinforced polymer (CFRP) plates has received extensive attentions in recent years. Since galvanic corrosion occurs between CFRP and the steel, glass fiber fabrics (GFF) are generally applied as an isolation layer. The present paper studied the effects of GFF on the bonding performances (such as ultimate strength and bond-slip relationship) between the CFRP and steel substrates. A series of pull-off tests were performed with variables of the thickness of the GFF layer. The testing results shows that the failure mode is the CFRP plate delamination failure, rather than cohesive failure. Based on this failure mode, the bondslip relationship curves is also trapezoidal shape for ductile adhesive and the thickness of the GFF isolation layer has no influence on the bonding performances. © APFIS 2015. All rights reserved.

关键词： Plates (structural components)

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