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RISReliability-Based Topology Optimization Using the Virtual Element Method: An Integrated Framework
Publisher: American Society of Civil Engineers
Abstract: This paper introduces a topology optimization approach based on the virtual element method (VEM), incorporating uncertainties. The objective of this optimization process is to design an optimal material layout for problems ...
Near-Real-Time Identification of Seismic Damage Using Unsupervised Deep Neural Network
Publisher: ASCE
Abstract: Prompt identification of structural damage is essential for effective postdisaster responses. To this end, this paper proposes a deep neural network (DNN)–based framework to identify seismic damage based on structural ...
Time-Dependent Reliability Assessment and Updating of Post-tensioned Concrete Box Girder Bridges Considering Traffic Environment and Corrosion
Publisher: ASCE
Abstract: In the reliability assessment of a bridge in operation with regards to its ultimate limit state, it should be noted that the strengths of members and effects of traffic load vary continuously over its lifespan due to the ...
Reliability-Based Design Optimization Using Quantile Surrogates by Adaptive Gaussian Process
Publisher: ASCE
Abstract: It is of great significance to incorporate various uncertainties into the design optimization of structures and other engineering systems. Many reliability-based design optimization (RBDO) methods have been developed, but ...
Integration of Engineering Optimization in Architectural Design
Publisher: American Society of Civil Engineers
Abstract: The recent advancements in theories and numerical methods of engineering optimization have paved the way for the widespread application of computational techniques in architectural and structural design, as well as software ...
Neural Network–Augmented Physics Models Using Modal Truncation for Dynamic MDOF Systems under Response-Dependent Forces
Publisher: American Society of Civil Engineers
Abstract: Accurate prediction of the dynamic response of a structure is crucial for its system identification, reliability analysis, and health monitoring. However, uncertainties in physics-based models and parameters may cause a ...
Cross-Entropy-Based Adaptive Concurrent Importance Sampling for Probabilistic Seismic Loss Analysis of Spatially Distributed Multistate Systems
Publisher: American Society of Civil Engineers
Abstract: AbstractSpatially distributed infrastructure systems are crucial assets of a community, and
thus assessing their risk under seismic hazards is essential. These assessments should
be system-wide, regional, and probabilistic ...
Surrogate Model–Assisted Learning of Conditional Probability Tables of Bayesian Networks Describing Structural Systems
Publisher: American Society of Civil Engineers
Abstract: AbstractBayesian network (BN) is an effective tool to describe and interpret the probability
distribution of a complex phenomenon. Essential building blocks in discrete BNs are
conditional probability tables (CPTs) quantifying ...
Three Dimensional Thermohydrodynamic Morton Effect Simulation—Part I: Theoretical Model
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The present study is focused on accurate prediction of the Morton effect problem including journal asymmetric heating and the corresponding long period amplitude oscillations using a nonlinear time transient rotordynamic ...
Three Dimensional Thermohydrodynamic Morton Effect Analysis—Part II: Parametric Studies
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents simulation results corresponding with the theoretical Morton effect model explained in Part I, where the 3D finite element models of bearing, shaft, and fluid film are adopted. In addition, it explains ...