- Topology Optimization in Engineering
- Composite Structure Analysis and Optimization
- Advanced Mathematical Modeling in Engineering
- Composite Material Mechanics
- Structural Response to Dynamic Loads
- Seismic Performance and Analysis
- Numerical methods in engineering
- Advanced Numerical Analysis Techniques
- Stability and Controllability of Differential Equations
- Advanced Multi-Objective Optimization Algorithms
- Structural Health Monitoring Techniques
- Advanced Mathematical Physics Problems
- Cellular and Composite Structures
- Vibration and Dynamic Analysis
- Probabilistic and Robust Engineering Design
- Structural Load-Bearing Analysis
- Risk and Safety Analysis
- Masonry and Concrete Structural Analysis
- High-Velocity Impact and Material Behavior
- Acoustic Wave Phenomena Research
- Dynamics and Control of Mechanical Systems
- Concrete Corrosion and Durability
- Hydrocarbon exploration and reservoir analysis
- Water Systems and Optimization
- Mechanical stress and fatigue analysis
Wuhan University
2025
Southeast University
2013-2023
Xi'an Jiaotong University
2023
University of Notre Dame
2015-2022
National University of Defense Technology
2017-2022
Langfang Normal University
2022
China University of Petroleum, Beijing
2021
Beijing University of Civil Engineering and Architecture
2020
Zhengzhou University of Industrial Technology
2018
Suzhou Research Institute
2016
Summary A novel density‐based topology optimization framework for plastic energy absorbing structural designs with maximum damage constraint is proposed. This enables topologies to absorb large amount of via work before failure occurs. To account the plasticity and during absorption, a coupled elastoplastic ductile model incorporated optimization. Appropriate material interpolation schemes are proposed relax in low‐density regions while still ensuring convergence Newton‐Raphson solution...
A self-centering concrete wall with distributed friction devices is proposed to achieve seismic resilient building structures. Unbonded post-tensioned tendons, running vertically through panels, provide a restoring force that pulls the structure back toward its undeformed plumb position after earthquake. Two steel jackets are installed at toes prevent spalling and crushing. Friction between adjacent gravity columns controllable energy dissipation, these readily replaceable. Desirable...
Summary An adjoint sensitivity analysis framework to evaluate path‐dependent design sensitivities for problems involving inelastic materials and dynamic effects is presented shown in the context of topology optimization. The overall aim present a that unifies analyses existing literature provides clear guidelines on how formulate wide range system behaviors simulated using finite element (FEA). In particular, focus identification proper independent variables constraint formulation, structure...
This paper presents the application of relia bility concepts to China's current highway concrete pavement design procedure. The fatigue life slab is assumed follow two-parameter Weibull distribution and theoretical reliability formula derived by using "interference theory". First-order approximation method used obtain mean variance from means variances parameters. Reliabilities are calculated at various traffic levels, variability thicknesses. Sensitivity analysis upon results shows that...
The prevailing trend in industrial equipment development is integration, with pipelines as the lifeline connecting system components. Given often harsh conditions of these pipelines, leakage a common occurrence that can disrupt normal operations and, severe cases, lead to safety accidents. Early detection even minor drips at onset enable timely maintenance measures, preventing more significant leaks and halting escalation pipeline failures. In light this, our study investigates method for...
This paper presents a computational framework for the robust stiffness design of hyperelastic structures at finite deformations subject to various uncertain sources. In particular, loading, material properties, and geometry uncertainties are incorporated within topology optimization modeled by random vectors or fields. A stochastic perturbation method is adopted quantify uncertainties, analytical adjoint sensitivities derived efficient gradient-based optimization. Moreover, mesh distortion...
This article presents the seismic fragility analysis of a self-centering steel moment-resisting frame (SC-MRF) with web friction devices. A detailed numerical model SC was developed using Open System for Earthquake Engineering Simulation (OpenSees) and elastoplastic responses SC-MRF were studied, including strength degradation under cyclic loading, tendon rupture, beam buckling, bolt bearing loss, etc. The proposed simulation approach is validated by comparing simulated results those in...
The reliable operation of the natural gas pipeline system is directly related to supply security, and it vital determine target reliability when assessing whether reliable. In this study, a methodology based on risk acceptance criteria pipelines proposed, consists three parts. Firstly, are determined existing standards. Secondly, failure consequence model considering properties surroundings developed, corresponding allowable probabilities calculated according theory. Finally, evaluation for...
Summary This study presents an isogeometric framework for incorporating representative volume element–based multiscale models into computational homogenization. First‐order finite deformation homogenization theory is derived within the of method virtual power, and Lagrange multipliers are used to illustrate effects considering different kinematical constraints. Using a multiplier approach in numerical implementation discrete system naturally leads consolidated treatment commonly employed...
Abstract This work focuses on topology optimization formulations with linear buckling constraints wherein eigenvalues of arbitrary multiplicities can be canonically considered. The non‐differentiability multiple is addressed by a mean value function which symmetric polynomial the repeated in each cluster. construction offers accurate control over cluster as compared to aggregation functions such ‐norm and Kreisselmeier–Steinhauser (K–S) where only approximate maximum/minimum available. also...
Structural vibration identification is an important task in civil engineering that based on processing measured data from structural monitoring. However, predicting the response at unsensed locations limited sensor can be challenging. Deep learning (DL) methods have shown promise feature extraction and generation, but they struggle to capture underlying physics laws dynamic equations govern identification. This paper presents a novel framework called physics-informed deep (PIDL) combines...
In this paper, we study the one-dimensional wave equation with Boltzmann damping. Two different integrals that represent memory of materials are considered. The spectral properties for both cases thoroughly analyzed. It is found when system counted from infinity, spectrum contains a left half complex plane, which sharp contrast to most results in elastic vibration systems vibrating dynamics can be considered frequency point view. This suggests us investigate starting moment. latter case, it...