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Fragility assessment of wood sheathing panels and roof-to-wall connections subjected to wind loading

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4, Pages 867-876 doi: 10.1007/s11709-021-0745-5

Abstract: The performance of the wood-frame buildings after tornadoes has shown that the majority of the wind damage resulted from building envelope failure most typically due to the loss of the roof. To assess the performance and the reliability of low-rise wood-frame residential buildings with a focus on the roofs, fragility analysis can be used to estimate the probability of failure of a roof when constructed with specified nails and sheathing sizes. Thus, this paper examines the fragility of specific types of nails, roof-to-wall (RW) connection details, and sheathing sizes based on the damaged roofs that were previously assessed in the Dunrobin area in Ottawa (Ontario) that was hit with an Enhanced Fujita (EF3) tornado on September 21, 2018. The presented fragility analysis considers four scenarios, including different sheathing and nail sizes. Dead loads, wind loads, and resistance on the sheathing panels were compiled and analyzed to determine the failure of the examined roofs. The eight fragility models suggest that the safest roof sheathing (RS) is the 1.22 m × 1.22 m sheathing panel with 8 d nails, and the safest RW connections is achieved by using H2.5 hurricane clips.

Keywords： tornadoes wind loads low-rise buildings fragility analysis risk assessment structural failures

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Interpreting the vulnerability of power systems in cascading failures using multi-graph convolutional Research Article

Supaporn LONAPALAWONG, Changsheng CHEN, Can WANG, Wei CHEN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12, Pages 1848-1861 doi: 10.1631/FITEE.2200035

Abstract: Analyzing the of in is generally regarded as a challenging problem. Although existing studies can extract some critical rules, they fail to capture the complex subtleties under different operational conditions. In recent years, several deep learning methods have been applied to address this issue. However, most of the existing deep learning methods consider only the grid topology of a power system in terms of topological connections, but do not encompass a power system's spatial information such as the electrical distance to increase the accuracy in the process of graph convolution. In this paper, we construct a novel power- that uses power system topology and spatial information to optimize the edge weight assignment of the line graph. Then we propose a multi-graph convolutional network (MGCN) based on a graph classification task, which preserves a power system's spatial correlations and captures the relationships among physical components. Our model can better handle the problem with that have parallel lines, where our method can maintain desirable accuracy in modeling systems with these extra topology features. To increase the interpretability of the model, we present the MGCN using layer-wise relevance propagation and quantify the contributing factors of model classification.

Keywords： Power systems Vulnerability Cascading failures Multi-graph convolutional networks Weighted line graph

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Dams and Floods

F. Lempérière

Engineering 2017, Volume 3, Issue 1, Pages 144-149 doi: 10.1016/J.ENG.2017.01.018

Abstract:

The possible mitigation of floods by dams and the risk to dams from floods are key problems. The People’s Republic of China is now leading world dam construction with great success and efficiency. This paper is devoted to relevant experiences from other countries, with a particular focus on lessons from accidents over the past two centuries and on new solutions. Accidents from floods are analyzed according to the dam’s height, storage, dam material, and spillway data. Most of the huge accidents that have been reported occurred for embankments storing over 10 hm³. New solutions appear promising for both dam safety and flood mitigation.

Keywords： Floods Flood mitigation Spillways Labyrinth spillways Dam failures

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Assessment of fatigue life of remanufactured impeller based on FEA

Lei XU,Huajun CAO,Hailong LIU,Yubo ZHANG

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3, Pages 219-226 doi: 10.1007/s11465-016-0394-x

Abstract:

Predicting the fatigue life of remanufactured centrifugal compressor impellers is a critical problem. In this paper, the S-N curve data were obtained by combining experimentation and theory deduction. The load spectrum was compiled by the rain-flow counting method based on the comprehensive consideration of the centrifugal force, residual stress, and aerodynamic loads in the repair region. A fatigue life simulation model was built, and fatigue life was analyzed based on the fatigue cumulative damage rule. Although incapable of providing a high-precision prediction, the simulation results were useful for the analysis of fatigue life impact factors and fatigue fracture areas. Results showed that the load amplitude greatly affected fatigue life, the impeller was protected from running at over-speed, and the predicted fatigue life was satisfied within the next service cycle safely at the rated speed.

Keywords： remanufactured impeller fatigue life impeller failures finite element analysis (FEA)

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Approximation of structural damping and input excitation force

Mohammad SALAVATI

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 2, Pages 244-254 doi: 10.1007/s11709-016-0371-9

Abstract: Structural dynamic characteristics are the most significant parameters that play a decisive role in structuralThe complexity of structural damping mechanisms has made this parameter to be one of the ongoing researchand nonlinear models which are described as the energy dissipation throughout viscous, material or structuralresponses plays an important role in structural identification process.In this paper model-based damping approximation method and a model-less structural input estimation are

Keywords： structural modal parameters damping identification method input excitation force identification Inverse

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Effects of green roof damping and configuration on structural seismic response

Frontiers of Structural and Civil Engineering Pages 1133-1144 doi: 10.1007/s11709-023-0959-9

Abstract: Hence, their structural resilience or ability to recover from natural events must be considered comprehensively, nonlinear time-history analyses are conducted on a three-story building in SAP2000 to monitor the structuralThe increased damping in the green roof soil is beneficial to the structural performance, i.e., it reducesAdditionally, certain configurations are more effective and beneficial to the structural response thanBased on the findings of this study, new methods of modeling and considering green roofs in structural

Keywords： green infrastructure green roof structural resilience seismic design

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Development of an integrated structural health monitoring system for bridge structures in operational

Xinqun ZHU, Hong HAO

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 3, Pages 321-333 doi: 10.1007/s11709-012-0161-y

Abstract: This paper presents an overview of development of an integrated structural health monitoring system.The integrated system includes vibration and guided-wave based structural health monitoring.system under operational conditions and structural evaluation.The study is mainly focused on developing: integrated sensor technology, integrated structural damageidentification with operational loads monitoring, and integrated structural evaluation with results

Keywords： integrated structural health monitoring operational conditions vibration and guided wave

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Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1, Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: This paper presents a new approach for automatical classification of structural state through deep learningextraction and classification blocks into an intelligent and compact learning system and detect the structuralstate of a steel frame; the input was a series of vibration signals, and the output was a structuralIt is demonstrated that: 1) the CNN can extract the structural state information from the vibration signals

Keywords： structural state detection deep learning digital image correlation vibration signal steel frame

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Identification of structural parameters and boundary conditions using a minimum number of measurement

Ali KARIMPOUR, Salam RAHMATALLA

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6, Pages 1331-1348 doi: 10.1007/s11709-020-0686-4

Abstract: Regression surfaces between the structural parameters and structural output features, represented byAn inverse iterative process is then applied to identify the structural parameters by matching the experimentalthe proposed method will have practical applications in the identification and analysis of restored structural

Keywords： structural model validation eigenvalue problem response surface inverse problems

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Advanced analysis for structural steel building design

CHEN Wai Fah

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 3, Pages 189-196 doi: 10.1007/s11709-008-0024-8

Abstract: The 2005 AISC LRFD Specifications for Structural Steel Buildings are making it possible for designersto recognize explicitly the structural resistance provided within the elastic and inelastic ranges ofawareness of the need for practical second-order analysis approaches for a direct determination of overall structural

Keywords： building Specifications comprehensive introduction structural resistance traditional

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Estimation of optimum design of structural systems via machine learning

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6, Pages 1441-1452 doi: 10.1007/s11709-021-0774-0

Abstract: Three different structural engineering designs were investigated to determine optimum design variablesTo explore the estimation success of ANN models, different test cases were proposed for the three structural

Keywords： optimization metaheuristic algorithms harmony search structural designs machine learning artificial

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Proposal of a probabilistic assessment of structural collapse concomitantly subject to earthquake and

Gholamreza ABDOLLAHZADEH, Hadi FAGHIHMALEKI

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 3, Pages 425-437 doi: 10.1007/s11709-017-0427-5

Abstract: In the second step, having the structural destructions of the first step in view, a pushdown analysisFinally, the annual probability of structural collapse under simultaneous earthquake and blast loads

Keywords： gas blast pushdown analysis progressive collapse annual probability of structural collapse 3D model of

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Stress-strain relationship with soil structural parameters of collapse loess

SHAO Shengjun, LONG Jiyong, YU Qinggao

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 2, Pages 151-160 doi: 10.1007/s11709-008-0020-z

Abstract: tri-axial shearing tests of unsaturated intact loess and based on the concept of comprehensive soil structuralpotential, this paper reveals the changing laws of soil structural property under the tri-axial stressconditions and establishes a mathematical expression equation of structural parameters, whereby reflectingstrain states, which is introduced into the shearing stress and shearing strain relation to obtain the structural

Keywords： hardening shearing expansion unsaturated structural property mathematical expression

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XFEM schemes for level set based structural optimization

Li LI, Michael Yu WANG, Peng WEI

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4, Pages 335-356 doi: 10.1007/s11465-012-0351-2

Abstract:

In this paper, some elegant extended finite element method (XFEM) schemes for level set method structuralto evaluate their accuracy, which indicate that an accurate analysis result can be obtained on the structuralreducing the time cost and that higher order XFEM elements can improve the computational accuracy of structuralAll numerical results demonstrate that the proposed XFEM is a promising structural analysis approachfor structural optimization with the level set method.

Keywords： structural optimization level set method extended finite element method (XFEM) computational accuracy