• A strategy is proposed and demonstrated to reduce the computational expense of calculating a performance envelope.
• A calculation framework is implemented and assessed for the creation of aircraft stiffened panel performance envelopes.

Performance envelopes provide a novel methodology that quantifies the load bearing capacity of a structure in a reduced dimension load space. The envelopes relate the complex loads acting on a structure to the corresponding structural failure ...

• A novel cepstrum-informed neural network for structural damage assessment.
• Developed cepstral positional encoding for modeling coefficient behaviors.
• Incorporated multi-head self-attention to parallelly process cepstral ...

Data-driven methods for vibration-based Structural Health Monitoring (SHM) have gained significant popularity for their straightforward modeling process and real-time tracking capabilities. However, developing complex models such as deep neural ...

• A model is developed to employ non-classical micropolar continuum for plates with in-plane functionally graded porosities.
• Micropolar surpasses traditional Cauchy theory in accurately predicting the mechanical response of FG porous ...

The current study proposes a computational-based method to employ the non-classical micropolar continuum for modelling plates with in-plane functionally graded porosities. Initially, a homogenisation method is developed to derive the micropolar ...

An extended formulation of the macro-element (ME) based models, representing for both adherends and adhesive along the entire overlap in only one four-node element, is presented. Compared to earlier modelling, continuum ME (CME) and discrete ME (...

• Extended formulation of discrete and continuum macro-element using polynomial series, under plane stress or strain conditions.
• Influence of kinematics expansion order on the adhesive and adherends stress distribution for a single lap ...

Corrosion-induced material deterioration poses a pervasive threat to structural integrity, necessitating an in-depth understanding of its intricate behaviors. Pitting corrosion, a critical concern in this context, accelerates the degradation of ...

• Integrated non-local peridynamics with machine learning for corrosion modeling.
• Linked material point concentration with neighbors, factoring in external mass flux.
• Applied weighted regression coefficients for micro-diffusivity ...

Strong imposition of Dirichlet boundary conditions for immersed finite element methods or immersed isogeometric methods remains a challenge. To address this issue, this paper presents a 3D conforming embedded isogeometric method for Boundary-...

• We propose a novel conforming embedded isogeometric method for B-Rep solid models.
• The presented method can handle B-rep models directly without geometric reconstruction.
• The proposed method allows strong imposing Dirichlet ...

Understanding the effect of the material parameters variability on the mechanical response of laminated composites is of great importance for many engineering problems. Not only an accurate sensitivity analysis enables to estimate how much each ...

• Sensitivity analysis of the mechanical response of laminated composites.
• Computationally efficient and accurate methodology employing a semi-analytical DDM.
• Sensitivity analysis during simulation or after completion.

• A novel analytical method is introduced to address the scattering of seismic waves in irregular terrain.
• Based on the analytic solution of scattering, the coherence function of ground motion is deduced theoretically.
• A sensitivity ...

An advanced analytical technique known as the Oblique Coordinate Wave Function Integral Method builds on Biot’s wave theory for saturated porous material, has been developed to address seismic wave scattering in irregular media. This method ...

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• A hybrid method to estimate impact sound insulation of concrete floors is described.
• The method combines the air-hemisphere method with a floor’s radiation efficiency.
• The method is also compared to experimental dynamic data of ...

Advanced construction technologies are creating opportunities to design and fabricate non-traditional concrete structural geometries. While removing structurally unnecessary material can aid in sustainability efforts, it can also reduce a ...

• Use single-axle, dual-wheeled 3D vehicle to capture vertical and rocking motions.
• Use fully 3D vehicle-bridge model to bring closer theory and application.
• Surface elevations identified along traces of left and right wheels are ...

A novel method is presented for estimating the bridge surface roughness scanned by a single-axle dual-wheeled 3D test vehicle and processed by an augmented Kalman filter (AKF). Two acceleration sensors are installed atop the axle near the two ...

• Four boosting machine learning (ML) models were developed to predict the seismic responses of steel moment frames.
• The maximum global and interstory drift ratios, base shear coefficient, and maximum floor acceleration were predicted.

The main objective of this paper is to develop machine learning (ML) models for predicting the seismic responses of steel moment frames. For this purpose, four boosting ML techniques-gradient boosting, XGBoost, LightGBM, and CatBoost-were ...

• Offline iteration-based real-time hybrid simulation (OI-RTHS) is proposed.
• OI-RTHS offers a solution for fluid–structure dynamic interaction (FSDI) problem.
• High-fidelity FSDI effects in seismic dynamic tests is realized.
• ...

This study introduces an offline iteration-based real-time hybrid simulation (OI-RTHS) method, a novel approach for simulating fluid–structure dynamic interaction (FSDI) under seismic excitation. With this method, hydrodynamic forces are treated ...

• A novel digital twins-boosted approach proposed to re-construct vehicle loads from videos.
• A PSF method developed to relax reliance on large-scale training data and image quality.
• Data support provided for structural safety and ...

Traffic loads are very critical in bridge digital twins for assessing the deterioration state and structural integrity of road bridges. The existing load rating methods are complicated and time-consuming, necessitating more efficient and ...

• A new algorithm, multi-population competition genetic algorithm, was proposed.
• The problem of bridge’s maximum deformation was converted into an optimization task.
• A direct method to solve long-span cable-supported bridge girder’s ...

This study addresses the stability problem of long-span cable-supported bridges (CSBs) under live loads, which requires an accurate estimation of maximum girder deflection and rotation angle. In contrast to the cumbersome influence line method or ...

The performance of glue laminated bamboo (glubam) members is governed by the nonlinear response at their joints, where high deformation levels and stress concentrations are developed. Numerous phenomenological models are presently employed to ...

• Asymmetric pinching damaged hysteresis model for glue laminated bamboo (glubam) members.
• Parameters identification coupling Bayesian Neural Network (BNN) and PGA.
• Comprehensive validation and comparison against other hysteretic ...

• A highly efficient structural dynamic analysis method with controllable accuracy is proposed.
• It is applicable to a wide range of coupled and nonlinear dynamic systems with time-varying modal characteristics.
• It can attain high-...

Aiming at the reanalysis problem of time-varying eigenvalues of force-shape coupled systems, this paper proposes an energy-preserving matrix perturbation theory (EPMPT) that can maintain the essential physical properties of the system. The ...

An implicit formulation for cylindrical joints (pivots) connecting slender rods in large deformations is presented exploiting the G¹ map at the beam's end. The rotation at the end of the rod is decomposed in the rotation of the pivot axis and a ...

• An implicit formulation of pivotal connection is presented.
• Either rigid and compliant mechanisms are correctly reproduced.
• Applications to deployable structures are presented.
• An objective and path independent interpolation is ...

• Finite Particle Method (FPM) is introduced into structural optimization.
• A general structural sensitivity analysis procedure is proposed for structural optimization based on FPM.
• The structural sensitivity formulation for static ...

The finite particle method (FPM), a novel numerical analysis approach for simulating structural statics and dynamics, is introduced into the field of structural optimization through the development of a new structural sensitivity analysis ...

In many engineering applications, the solution of acoustic wave problems in the infinite domain is required over a broad frequency range with densely sampled increments. In order to achieve efficient numerical simulations via a spatial ...

• Frequency-independent perfectly matched layer is proposed for exterior acoustics.
• Accuracy at low frequencies is improved compared to traditional implementations.
• Empirical values of the proposed PML are suggested for practical ...

• Local order parameter coined in Landau mean field is introduced to describe soil liquefaction.
• Modulus degradation is characterized from thermodynamics other than empirical forms.
• All the parameters introduced are endowed with ...

The idea of Phase Field Method (PFM) is introduced to depict the dynamic shear modulus degradation of saturated soil revealed in the undrained triaxial tests. The order parameter in PFM is adopted to govern the liquefaction process. Then the ...