• A two-stage method through restart analysis algorithm highly improves efficiency of biaxial wheel fatigue simulation.
• Tire model parameters are identified based on tire stiffness properties obtained by biaxial test machine with inner ...

To improve accuracy and convergence of biaxial wheel fatigue simulation with coupled nonlinearity, we propose a two-stage approach based on a composite tire model. The tire model is calibrated through an identification procedure, wherein the ...

This paper presents a new optimization framework in which the structural analyzer (isogeometric analysis–IGA) and data-driven surrogate model (deep neural network–DNN) are sequentially and repeatedly employed as the evaluation function in the ...

• Tri-directional material distribution optimization in FG plates is considered.
• A hybrid IGA-DNN optimization framework is proposed.
• Training data is collected from the optimization process.
• Significantly reduced computation ...

Multi-material phononic crystals hold promise for manipulating elastic wave propagation, enhancing the rigidity of the host structure, and realizing multifunctionality, including electric conduction, sound insulation, and heat diffusion. This ...

• A new interpolation function is presented for multi-material topology optimization.
• Both isotropic and anisotropic materials are investigated for phononic crystal design.
• The effects of anisotropic factors of materials on the ...

Although various structural optimization techniques have a sound mathematical basis, the structural robustness and practical constructability of optimal designs pose a great challenge in the manufacturing stage. This paper presents an automated ...

• A novel method for design-informed structural optimisation is developed.
• Handles both additive and assembly-based manufacturing techniques.
• Optimal design outputs are structurally safe, stable and adequately-stiff.
• Automated ...

The paper presents a new type of weakly nonlinear two-scale model of controllable periodic porous piezoelectric structures saturated by Newtonian fluids. The flow is propelled by peristaltic deformation of microchannels which is induced due to ...

• Derived a two-scale model of peristaltic pumping of fluid in elastic skeleton with piezoelectric controlable actuators.
• The quasistatic fluid-structure interaction problem in periodic structures is upscaled by the homogenization ...

The use of Reduced Dimensional Models (RDM) discretized like beams, plates and shell elements drastically decreases the computational cost of solving a full 3D elastic problem with a Finite Element Method (FEM). However, its kinematic assumptions ...

• The use of beam elements drastically reduces the computational cost of analogous full-dimensional models.
• The MDC can be used to establish a weak coupling between a layered beam model and its plane-stress representation.
• This ...

• A modified Gurson-Tvergaard-Needleman (GTN) model has been established for predicting ductile fracture in high strain rate conditions for alloys.
• The improved GTN model predicts results for 7xxx aluminum alloys consistent with Taylor ...

The Gurson-Tvergaard-Needleman (GTN) model has been improved to extend its application for high strain rate loading and assessed by using the Taylor impact process of 7xxx aluminum alloys. The existing modification method based on independent ...

This paper develops a numerical integration for an elastoplastic model for hardening materials which has an anisotropic yield surface, and displays asymmetric behavior under tension and compression yielding. The model also captures nonlinear ...

• An elastoplastic model for anisotropic-hardening materials is constructed.
• Tension-compression asymmetry and anisotropic yield surface is embedded in model.
• The model behaves nonlinear mixed-isotropic-kinematic hardening/softening.

• Proposed a method for discrete optimization with high accuracy and adaptivity.
• The method optimizes the structure and fiber orientations in a unified framework.
• The optimization framework considers additive manufacturing ...

Additive manufacturing (AM) has revolutionized the way we design and manufacture lightweight composite structures with complex geometries and extraordinary performance. In composite AM, fibers are often steered within the plane of printing and ...

• A stabilized peridynamic correspondence material model for axisymmetric ablation and fracture problems is proposed.
• A strain energy density decomposition method is adopted to distinguish effect of different deformations.
• A novel ...

A stabilized peridynamic correspondence material model for axisymmetric problems (SPD-CMM-A) is proposed in this work to effectively simulate the ablation and ductile fracture behaviors of metals under high temperatures. To quantify the damage ...

Bolted steel to laminated bio-based material connections experience significant performance challenges due to the nonlinear response and high stress concentrations at their joints. This paper introduces an innovative 3D plasticity-fracture ...

• 3D FE model for bolted steel to timber/glubam connections.
• Merged Hill's criteria with element removal for fractures.
• Integrated ABAQUS and Python for multi-threaded analysis.
• Utilized parallel genetic algorithm (PGA) for ...

In recent years, increasingly complex computational models are being built to describe physical systems which has led to increased use of surrogate models to reduce computational cost. In problems related to Structural Health Monitoring (SHM), ...

• Full field solution reconstruction is achieved using deep learning-based surrogates.
• Surrogate model is inherently capable of quantifying load-related uncertainty.
• Cost of high-dimensional stochastic structural analyses is ...

Structural dynamics systems are represented by discretized partial differential equations, whose solutions depend on various parameters. Developing high-fidelity numerical models for multi-dimensional systems or those with multiple parameters can ...

• Computing the solution space of structural dynamics systems using a global solver: The Harmonic-Modal Hybrid (HMH) Method.
• Accelerating the solver's computational time by incorporating the Discrete Empirical Interpolation Method (DEIM)...

• Cable-truss interaction is captured for cable-truss structural system.
• Long-term mesh reflector antenna creep phenomenon is analysed.
• Time-related tangent stiffness matrix is deduced for static solution.
• Proper pre-tension can ...

During the in-orbit service, mesh reflector antennas inevitably withstand the long-term creep behavior, resulting in changes in material properties and loss of cable tensions, thus decreasing the structural stiffness and surface accuracy. ...

In this study, we present an efficient Topology Optimization (TO) approach designed to optimize support structures in metal Additive Manufacturing (AM), with a particular focus on Powder Bed Fusion (PBF) technology. The developed framework uses a ...

• Novel transient thermal-based layer-by-layer AM modeling, suitable for parallelization.
• Optimal geometry orientation and support topology based on transient thermal process simulation.
• Design of non-standard optimal supports with a ...

• Porous microstructure dictates the overall performance of a reactor.
• Ractor microstructure is optimized by pore network modeling and metaheuristic optimization.
• A multi-objective optimization led to a higher conversion rate and a ...

Reactive transport within porous reactors is crucial to many diverse applications, and the efficacy of these reactors hinges on their microstructure. Mathematical modeling and optimization play a pivotal role in the exploration of efficient ...

• A new neural network model is proposed to predict the nonlinear dynamic response of steel moment resisting frames.
• A new repairability design constraint is proposed to limit the damage level of the structures.
• A novel and effective ...

In this paper, a novel and efficient neural network-based methodology is proposed to achieve seismic total cost optimization of steel moment-resisting frames in a timely manner. The computational burden of an optimization process based on ...

Composite materials are essential for many advanced engineering applications, but numerical quantification of strength variability can be computationally expensive. This paper proposes a novel methodology that drastically reduces the number of ...

• Measurement-based fibre misalignment, volume fraction and fibre strength variability.
• Vine copula replaces stochastic finite element strength homogenisation.
• Spatial material variability reduces UD coupon tensile strength by 3.8%.

• Presents a self-developed framework for vehicle–bridge interaction simulation.
• Validated using a laboratory experiment and an earlier numerical case.
• Specialized for large vehicle–bridge systems and decks with slopes and curves.

The coupled motion between bridges and vehicles is known as vehicle–bridge interaction (VBI). It is crucial for bridge design, monitoring, and vehicle safety and comfort. VBI studies typically rely on general-purpose finite element (FE) software. ...

In this paper, we propose a novel thermal deformation formulation for elastic bodies' thermomechanical simulation with total Lagrangian smoothed particle hydrodynamics (TLSPH), which employing fixed reference configuration. We utilize implicit ...

• An implicit corotated total Lagrangian smoothed particle hydrodynamics (SPH) is employed for simulating elastic bodies.
• A novel methodology for thermal deformation, based on the TLSPH framework, is introduced.
• To verify basic ...