Structural Safety最新文献_第6页

Comparison of probabilistic structural reliability methods for ultimate limit state assessment of wind turbines 用于风力涡轮机极限状态评估的概率结构可靠性方法比较

IF 5.7 1区工程技术

Structural Safety Pub Date : 2024-07-06 DOI: 10.1016/j.strusafe.2024.102502

Hong Wang , Odin Gramstad , Styfen Schär , Stefano Marelli , Erik Vanem

{"title":"Comparison of probabilistic structural reliability methods for ultimate limit state assessment of wind turbines","authors":"Hong Wang , Odin Gramstad , Styfen Schär , Stefano Marelli , Erik Vanem","doi":"10.1016/j.strusafe.2024.102502","DOIUrl":"10.1016/j.strusafe.2024.102502","url":null,"abstract":"<div><p>The probabilistic design of offshore wind turbines aims to ensure structural safety in a cost-effective way. This involves conducting structural reliability assessments for different design options and considering different structural responses. There are several structural reliability methods, and this paper will apply and compare different approaches in some simplified case studies. In particular, the well known environmental contour method will be compared to a more novel approach based on sequential sampling and Gaussian processes regression for an ultimate limit state case study on the maximum flapwise blade root bending moment. For one of the case studies, results will also be compared to results from a brute force simulation approach. Interestingly, the comparison is very different from the two case studies. In one of the cases the environmental contours method agrees well with the sequential sampling method but in the other, results vary considerably. Probably, this can be explained by the violation of some of the assumptions associated with the environmental contour approach, i.e. that the short-term variability of the response is large compared to the long-term variability of the environmental conditions. Results from this simple comparison study suggests that the sequential sampling method can be a robust and computationally effective approach for structural reliability assessment.</p></div>","PeriodicalId":21978,"journal":{"name":"Structural Safety","volume":"111 ","pages":"Article 102502"},"PeriodicalIF":5.7,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0167473024000730/pdfft?md5=4183ec8171946602561d50a94930d798&pid=1-s2.0-S0167473024000730-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141935415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive importance sampling approach for structural time-variant reliability analysis 用于结构时变可靠性分析的自适应重要性抽样方法

IF 5.7 1区工程技术

Structural Safety Pub Date : 2024-07-06 DOI: 10.1016/j.strusafe.2024.102500

Xiukai Yuan, Yunfei Shu, Yugeng Qian, Yiwei Dong

{"title":"Adaptive importance sampling approach for structural time-variant reliability analysis","authors":"Xiukai Yuan, Yunfei Shu, Yugeng Qian, Yiwei Dong","doi":"10.1016/j.strusafe.2024.102500","DOIUrl":"10.1016/j.strusafe.2024.102500","url":null,"abstract":"<div><p>A novel sampling approach, called adaptive importance sampling (AIS), is proposed to efficiently perform time-variant reliability analysis. In practice, structures are generally subject to time-variant deterioration processes and external loads, and the Time-variant Failure Probability Function (TFPF), which is the failure probability as a function of time, is a critical quantity of interest in engineering applications. The proposed approach leverages an adaptive strategy and an optimal combination algorithm to further improve the accuracy and efficiency of TFPF estimation using the importance sampling approach. The adaptive strategy is to seek for the best setting of importance sampling components to iteratively obtain estimator components of the TFPF. The optimal combination algorithm is to collect all these adaptive estimator components to form an overall estimator by its coefficient of variation (C.o.V.). The proposed approach outperforms traditional importance sampling methods in the sense that it ensures the convergence with minimal computational cost, specifically the C.o.V. of the TFPF estimator is below a predetermined threshold over the entire time domain. Therefore, the proposed approach offers an extension to traditional importance sampling methods for time-variant reliability assessment. Numerical examples are provided to demonstrate the effectiveness of the proposed approach in accurately estimating the TFPF of structures subjected to time-variant loads and deterioration processes.</p></div>","PeriodicalId":21978,"journal":{"name":"Structural Safety","volume":"111 ","pages":"Article 102500"},"PeriodicalIF":5.7,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141637937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Third moment method for reliability analysis with uncertain moments characterized as interval variables 以区间变量表征不确定矩的可靠性分析第三矩法

IF 5.7 1区工程技术

Structural Safety Pub Date : 2024-07-05 DOI: 10.1016/j.strusafe.2024.102499

Bo-Yu Wang, Xuan-Yi Zhang, Yan-Gang Zhao

{"title":"Third moment method for reliability analysis with uncertain moments characterized as interval variables","authors":"Bo-Yu Wang, Xuan-Yi Zhang, Yan-Gang Zhao","doi":"10.1016/j.strusafe.2024.102499","DOIUrl":"https://doi.org/10.1016/j.strusafe.2024.102499","url":null,"abstract":"<div><p>Traditional reliability analysis aims to compute the failure probability based on probability distribution functions, which are constructed using the moments of random parameters. In practice, however, appropriate samples may be insufficient to obtain deterministic values of the moments of all random variables and the exact value of failure probability cannot be obtained. To be consistent with the reality, the uncertainties in moments can be measured as interval variables, and then the bounds of failure probability should be evaluated. In this study, an idealized case is considered, where there is at most one imprecise moment associated with any given input random variable. A third moment method is proposed with uncertain moments measured as interval variables, and is named as TMI method. The proposed TMI method is straightforward including only four steps. Firstly, the derivative of performance function to random variables having uncertain moments is calculated, with the random variables set to be their mean values. Secondly, the values of uncertain moments for computing the bounds of failure probability are determined. Then, with inverse normal transformation defined based on the moments, the performance function at the bounds in Gaussian space is directly constructed. Finally, bounds of failure probability can be evaluated by two times of classical reliability analysis corresponding to the constructed performance functions. The application of TMI method is validated by numerical examples, including high-dimensional and strong nonlinear problems.</p></div>","PeriodicalId":21978,"journal":{"name":"Structural Safety","volume":"111 ","pages":"Article 102499"},"PeriodicalIF":5.7,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141593955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A reduced-order model approach for fuzzy fields analysis 模糊场分析的降阶模型方法

IF 5.7 1区工程技术

Structural Safety Pub Date : 2024-06-25 DOI: 10.1016/j.strusafe.2024.102498

Nataly A. Manque , Marcos A. Valdebenito , Pierre Beaurepaire , David Moens , Matthias G.R. Faes

{"title":"A reduced-order model approach for fuzzy fields analysis","authors":"Nataly A. Manque , Marcos A. Valdebenito , Pierre Beaurepaire , David Moens , Matthias G.R. Faes","doi":"10.1016/j.strusafe.2024.102498","DOIUrl":"https://doi.org/10.1016/j.strusafe.2024.102498","url":null,"abstract":"<div><p>Characterization of the response of systems with governing parameters that exhibit both uncertainties and spatial dependencies can become quite challenging. In these cases, the accuracy of conventional probabilistic methods to quantify the uncertainty may be strongly affected by the availability of data. In such a scenario, fuzzy fields become an efficient tool for solving problems that exhibit uncertainty with a spatial component. Nevertheless, the propagation of the uncertainty associated with input parameters characterized as fuzzy fields towards the output response of a model can be quite demanding from a numerical point of view. Therefore, this paper proposes an efficient numerical strategy for forward uncertainty quantification under fuzzy fields. This strategy is geared towards the analysis of steady-state, linear systems. To reduce the numerical cost associated with uncertainty propagation, full system analyses are replaced by a reduced-order model. This reduced-order model projects the equilibrium equations into a small-dimensional space constructed from a single analysis of the system plus sensitivity analysis. The associated basis is enriched to ensure the quality of the approximate response and numerical cost reduction. Case studies of heat transfer and seepage analysis show that with the presented strategy, it is possible to accurately estimate the fuzzy responses with reduced numerical effort.</p></div>","PeriodicalId":21978,"journal":{"name":"Structural Safety","volume":"111 ","pages":"Article 102498"},"PeriodicalIF":5.7,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0167473024000699/pdfft?md5=bcfa94ed147d4d7c46de2b648c544f29&pid=1-s2.0-S0167473024000699-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141593956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Seismic fragility of unbraced industrial steel pallet racks 无支撑工业钢制托盘货架的抗震脆性

IF 5.7 1区工程技术

Structural Safety Pub Date : 2024-06-22 DOI: 10.1016/j.strusafe.2024.102497

Marco Donà , Giacomo Piredda , Alberto Zonta , Enrico Bernardi , Francesca da Porto

引用次数: 0

Life-cycle performance prediction and interpretation for coastal and marine RC structures: An ensemble learning framework 沿海和海洋 RC 结构的生命周期性能预测和解释：集合学习框架

IF 5.7 1区工程技术

Structural Safety Pub Date : 2024-06-19 DOI: 10.1016/j.strusafe.2024.102496

Hongyuan Guo , You Dong , Emilio Bastidas-Arteaga , Xiaoming Lei

{"title":"Life-cycle performance prediction and interpretation for coastal and marine RC structures: An ensemble learning framework","authors":"Hongyuan Guo , You Dong , Emilio Bastidas-Arteaga , Xiaoming Lei","doi":"10.1016/j.strusafe.2024.102496","DOIUrl":"https://doi.org/10.1016/j.strusafe.2024.102496","url":null,"abstract":"<div><p>Long-term exposure to coastal and marine environments accelerates the aging of reinforced concrete (RC) structures, impacting their structural safety and society impact. Traditional assessments of long-term performance deterioration in RC structures involve complex, nonlinear, and time-intensive studies of physical mechanisms. While existing machine learning (ML) methods can assess the lifetime of these structures, they often prioritize data regression over mechanistic interpretation. To enhance the efficiency and interpretability of predicting the life-cycle performance of RC structures, this study introduces a generic framework based on interpretable ensemble learning (EL) methods. The framework predicts life-cycle performance efficiently and accurately, with optimal hyperparameters automatically tuned through Bayesian optimization. Interpretability algorithms clarify the influence of environmental, durability, and mechanical parameters on structural durability and mechanical predictions. Validation employs real-world cases of RC hollow beams in the coastal area of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). The comprehensive model for RC structures integrates actual data on temperature, humidity, and surface chloride content in the GBA, considering diffusion, convection, and binding effects of chloride ions, corrosion non-uniformity, and crack impact on durability estimation. Comparative analysis with existing ML methods underscores the effectiveness of the framework. The findings highlight the dynamic evolution of feature importance rankings throughout the service life, shedding light on the continuous changes in the significance of different factors when predicting mechanical resistance.</p></div>","PeriodicalId":21978,"journal":{"name":"Structural Safety","volume":"110 ","pages":"Article 102496"},"PeriodicalIF":5.7,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Vine-copula-based multi-dimensional fragility analysis of nuclear power plant under sequential earthquakes 基于藤状结构的核电站在连续地震下的多维脆性分析

IF 5.8 1区工程技术

Structural Safety Pub Date : 2024-06-10 DOI: 10.1016/j.strusafe.2024.102494

Meng-Ze Lyu , Zi-Jian Fei , De-Cheng Feng

{"title":"Vine-copula-based multi-dimensional fragility analysis of nuclear power plant under sequential earthquakes","authors":"Meng-Ze Lyu , Zi-Jian Fei , De-Cheng Feng","doi":"10.1016/j.strusafe.2024.102494","DOIUrl":"https://doi.org/10.1016/j.strusafe.2024.102494","url":null,"abstract":"<div><p>Seismic resilience of critical infrastructure, such as nuclear power plants, is paramount in ensuring nuclear safety. This study presents a comprehensive analysis of the seismic fragility of nuclear power plants under sequential earthquakes, employing the innovative vine-copula theory. The methodology integrates advanced modeling techniques, including layered shell elements and plastic damage softening constitutive modeling, to capture the intricate behavior of nuclear power plants under seismic loading. The seismic sequence is derived from the Wenchuan earthquake data, considering both mainshocks and aftershocks. A set of random seismic peak ground accelerations (PGAs) is generated based on the distribution of giant earthquake PGAs. Utilizing seismic attenuation theory, corresponding random aftershock PGAs are generated. The resulting mainshock-aftershock sequence, modulated within the real seismic sequence, serves as the input for numerical simulations. The vine-copula theory is employed for multi-dimensional fragility analysis, providing a flexible framework to model the complex nonlinear dependencies among structural response parameters. The vine-copula model is applied to fit seismic response data, allowing the construction of fragility surfaces under sequential earthquakes. This approach, rooted in performance-based earthquake engineering (PBEE), enables a more realistic representation of the seismic risk profile. The findings demonstrate that seismic fragility trends for nuclear power plants increase with higher mainshock and aftershock intensity measures (IMs). The impact of aftershocks on the structural performance, often overlooked in traditional studies, is elucidated through the proposed methodology. The study contributes valuable insights into nuclear safety assessments by quantifying the influence of sequential earthquakes on the fragility of nuclear power plants.</p></div>","PeriodicalId":21978,"journal":{"name":"Structural Safety","volume":"110 ","pages":"Article 102494"},"PeriodicalIF":5.8,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141328746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Codes and standards for structural design - developments and future potential 结构设计规范和标准--发展和未来潜力

IF 5.7 1区工程技术

Structural Safety Pub Date : 2024-06-09 DOI: 10.1016/j.strusafe.2024.102495

Jochen Köhler , John D. Sørensen , Bruce Ellingwood

引用次数: 0

Optimal design of experiments for computing the fatigue life of an offshore wind turbine based on stepwise uncertainty reduction 基于逐步减少不确定性的计算海上风力涡轮机疲劳寿命的优化实验设计

IF 5.8 1区工程技术

Structural Safety Pub Date : 2024-05-31 DOI: 10.1016/j.strusafe.2024.102483

Alexis Cousin, Nicolas Delépine, Martin Guiton, Miguel Munoz Zuniga, Timothée Perdrizet

{"title":"Optimal design of experiments for computing the fatigue life of an offshore wind turbine based on stepwise uncertainty reduction","authors":"Alexis Cousin, Nicolas Delépine, Martin Guiton, Miguel Munoz Zuniga, Timothée Perdrizet","doi":"10.1016/j.strusafe.2024.102483","DOIUrl":"https://doi.org/10.1016/j.strusafe.2024.102483","url":null,"abstract":"<div><p>The design of an offshore wind turbine to resist fatigue damage during its whole service life requires to estimate an expectation over the pluri-annual joint statistics of wind and wave variables. Using a full factorial-based integration for the estimation of the cumulative fatigue damage represents a tremendous computational cost with aero-servo-hydro-elastic solvers which is generally not affordable by industrial designers. To overcome this limitation, strong approximations with lumping of environmental discretized joint probability (scatter diagram) are generally employed. We present in this paper a new method, called MAKSUR, involving the iterative enrichment of a design of experiments tailored to provide a good approximation of the long term mean damage. This method relies on a Kriging response surface with a learning criterion defined as the variance of the mean damage integral. It is compared to another previous similar approach called AK-DA, also dedicated to damage prediction, but is shown to converge more efficiently and with less numerical parameters to define by the user. The potential of the method for offshore wind turbine is demonstrated by a realistic 6D floating wind turbine case study with six wind and wave input variables.</p></div>","PeriodicalId":21978,"journal":{"name":"Structural Safety","volume":"110 ","pages":"Article 102483"},"PeriodicalIF":5.8,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0167473024000547/pdfft?md5=3896f4e4961c25dba8e87ec022e12368&pid=1-s2.0-S0167473024000547-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141328851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The first-order time-variant reliability expansion method 一阶时变可靠性扩展法

IF 5.8 1区工程技术

Structural Safety Pub Date : 2024-05-23 DOI: 10.1016/j.strusafe.2024.102484

Weiwei Chen , Bingyu Ni , Wanyi Tian , Chao Jiang

{"title":"The first-order time-variant reliability expansion method","authors":"Weiwei Chen , Bingyu Ni , Wanyi Tian , Chao Jiang","doi":"10.1016/j.strusafe.2024.102484","DOIUrl":"10.1016/j.strusafe.2024.102484","url":null,"abstract":"<div><p>Time-variant reliability problems are frequently encountered in engineering due to factors like material degradation or random loading modeled as random processes. The PHI2 method, which employs the First Order Reliability Method (FORM), is commonly used to solve such problems. However, it requires repeated searches for Most Probable Points (MPPs), making it computationally expensive. To improve efficiency with little sacrifice of accuracy, this study proposes a First Order Time-variant Reliability Expansion (FOTRE) method, which provides an efficient explicit formulation for MPP regarding time, in contrast to the expensive optimization approach of the PHI2 method. It requires only a single accurate search for the so-called “worst MPP” over the whole lifespan and offers the “<em>adaptive accuracy of outcrossing rate</em>”, which avoids the repeated search for MPPs ensuring computational accuracy. The inspiration behind the FOTRE method stems from the observation that the outcrossing rate tends to be small at time points with relatively large reliability indexes compared to the minimum reliability index <em>β</em><sub>min</sub>, which has a negligible impact on the subsequent structural failure probability over the entire lifespan. This innovative approach significantly improves the efficiency of solving time-variant reliability problems without compromising much of the numerical accuracy. The effectiveness and accuracy of the FOTRE method are demonstrated through several numerical examples.</p></div>","PeriodicalId":21978,"journal":{"name":"Structural Safety","volume":"109 ","pages":"Article 102484"},"PeriodicalIF":5.8,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141132960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0