Structural Safety
Papers 1363
1 page of 137 pages (1,363 results)
#1Hao Qin (University of Newcastle)H-Index: 3
#2Mark G. Stewart (University of Newcastle)H-Index: 39
Abstract Severe windstorms cause millions in losses annually for housing in Southeast Australia that has more than half of Australia’s population. The risk assessment for housing in these non-cyclonic regions is the key to assessing the cost-effectiveness of relevant wind mitigation measures to reduce economic losses. This study develops a probabilistic risk assessment framework to evaluate the wind and rain losses for new Australian contemporary houses correctly built and inspected to current s...
#1Chunlong Xu (HEU: Harbin Engineering University)H-Index: 1
#2Weidong Chen (HEU: Harbin Engineering University)H-Index: 2
Last. Shengzhuo Lu (HEU: Harbin Engineering University)H-Index: 1
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Abstract Structural reliability analysis aims to estimate the failure probability of a structure with respect to the performance function. This estimation may be a difficult task when the computation of a structural response requires large computational efforts. Although simulation-based methods can be used directly, they may require a large number of calls to the performance function for small failure probabilities. Metamodels (such as Kriging) that can replace the original performance function...
#1Huiquan MiaoH-Index: 3
#2Wei LiuH-Index: 3
Last. Jie LiH-Index: 18
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Abstract In this study, a new approach for assessing the seismic functional reliability of water distribution networks is presented on the basis of the probability density evolution method. The original contribution of this paper is to build a new framework for the reliability analysis of water distribution networks on the basis of the physical mechanism of water distribution networks subjected to earthquakes. Firstly, a finite element model is established to capture the seismic response of the ...
#2Junho Song (SNU: Seoul National University)H-Index: 22
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Abstract Complexity of today’s engineering systems inevitably makes the computational simulation of their performance challenging and time-consuming. Since structural reliability analysis methods generally repeat such computational simulations, it is essential to reduce the number of function evaluations required to achieve reliable estimates. In research efforts to fulfill this aim, adaptive Kriging methods have gained significant interest because of desirable properties and accuracy of the sur...
#1Ramón Hingorani (CSIC: Spanish National Research Council)H-Index: 3
#2Peter Tanner (CSIC: Spanish National Research Council)H-Index: 6
Last. Carlos Lara (CSIC: Spanish National Research Council)H-Index: 2
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Abstract Most building design codes distinguish structural reliability levels in terms of failure consequences, for which they normally define consequence classes based on building type and use. Although readily applicable in everyday practice, that approach may entail adopting inconsistent safety requirements. Such a significant drawback could be minimised by establishing separate reliability levels for key members on the grounds of the potential consequences of their collapse. Further to those...
Abstract Nuclear power plant (NPP) sites typically consist of multiple reactors (units). When earthquakes occur in the vicinity of these sites, effects will be experienced at all units. However, a seismic probabilistic risk assessment (PRA) of a multi-unit site typically only considers the possibility of adverse conditions at a single unit or, if multiple unit impacts are considered, typically assumes that all units at the site experience the same ground motion. This assumption of perfect correl...
#1Mingyang Li (MTU: Michigan Technological University)
#2Zequn Wang (MTU: Michigan Technological University)H-Index: 8
Abstract Heterogeneous uncertainties due to model imperfection, lack of training data, and input variations coexist in simulation-based design optimization. In this work, a Bayesian-enhanced meta-model is developed to handle heterogeneous uncertainties concurrently in reliability-based design optimization. To account for model form uncertainty, a Bayesian model inference approach is first employed to calibrate unknown parameters of simulation models. Then a hybrid GP model is constructed based o...
#1Sebastian Thöns (BAM: Bundesanstalt für Materialforschung und -prüfung)H-Index: 10
#2Mark G. Stewart (University of Newcastle)H-Index: 39
Abstract We analyse the performance of risk reduction strategies for terrorist attacks with Improvised Explosive Devices (IEDs) for large governmental building structures in terms of cost-efficiency, significance and effectiveness accounting for life safety in conjunction with societal preferences and capabilities. The approach builds upon an extended Bayesian pre-posterior decision analysis and the principles of the marginal lifesaving costs based on the Life Quality Index (LQI). The decision s...
Abstract Hospital emergency departments are highly important systems and treat injured people during earthquakes. It is essential that their functionality is maintained during or recovered immediately after a disastrous earthquake; this is referred to as seismic resilience. A systematic analysis of the involved components and their influence on the functionality are required to quantify the functionality and seismic resilience. A number of studies have analyzed emergency departments under normal...
#1Domenico Altieri (University of Liverpool)H-Index: 2
#2Edoardo Patelli (University of Liverpool)H-Index: 16
Abstract Fragility curves are used in earthquake engineering for assessing the seismic vulnerability of structures or systems. Direct estimations of fragility curves by means of simulation-based approaches lead generally to relevant computational costs, especially when the failure region is characterized by small probabilities of occurrence. Simplified hypotheses are therefore introduced in the common practice to approximate the dependency between the structural response and the associated seism...
Top fields of study
Mathematical optimization
Monte Carlo method
Probabilistic logic
Structural engineering