Journal & Article

Interdisciplinary Applications

I/F
# Journal I/F

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Isolation distributional kernels for indirect bridge health monitoring: A full-scale investigation of anomaly detection Real-time multi-step prediction of tunnel boring machine parameters using a decomposition-enhanced dual-stream deep learning model Generative diffusion–aided probabilistic spatiotemporal response reconstruction for structural dynamic system under sparse noisy measurements Digital twinning of a steel composite bridge using semantic data structures Pavement performance prediction via a tabular foundation model Parameterized quantum circuit-enhanced graph neural networks for seismic damage prediction: Advantages under data-scarce and noisy conditions A framework for multi-class surface damage segmentation, quantification, and severity assessment of reinforced concrete structures with GAN data augmentation Physics-parameterized neural networks for non-destructive concrete strength prediction: A comparative study A multi-level approach for predicting seismic damage of building portfolios subjected to ground motion fields Vehicle–Infrastructure Cooperative Multi-Lane Lane Changing of Connected and Automated Vehicle Platoons in Mixed Traffic via Monte Carlo Tree Search LSTM-based constitutive model of recycled aggregate concrete under confining pressure Transformer-based contrastive denoising autoencoder for unsupervised detection of wind-induced vibration changes in cable-supported bridges TCN-AOL: An online incremental learning method for real-time multi-step prediction of shield tunnel excavation performance Real-time estimation of seismic rupture feature parameters considering active fault constraints Bayesian meta-learned priors for few-shot structural identification under data heterogeneity A two-stage optimized temperature component-driven deep learning model for arch dam deformation prediction A large language model-aided vision-based framework for automated structural displacement measurement Assessing the reliability of surrogate-based inverse identification beyond forward accuracy: A diagnostic framework for pavement systems Corrigendum to “Parameterized quantum circuit-enhanced graph neural networks for seismic damage prediction: Advantages under data-scarce and noisy conditions” [Computer-Aided Civil and Infrastructure Engineering 49 (2026) 100101] Surrogate coupling model for nonlinear dynamic lateral instability of high-speed trains interacting over turnouts Explainable trajectory planning for autonomous driving via dynamic topology-reasoned diffusion model An adaptive UAV-based daily highway inspection method based on vision foundation models and image matching technique Shape control optimization of complex inflatable membrane structures based on position-based dynamics with application to ice shells Visible-infrared imagery and deep learning for UAV-based automated levee hazard detection Model-free geometric perception framework for automated deformation monitoring of space grid structures Railway track geometry irregularity exceedance prediction based on CNN-BiLSTM-Attention and neural-wiener process fusion with degradation feature diversity 3D modeling and automated measurement of concrete cracks via segment anything refinement and visual inertial LiDAR fusion Anticipatory Monte Carlo tree search–based optimization for stochastic dynamic routing with time windows A point cloud dataset and deep learning framework for semantic segmentation of construction site point clouds Tracking of real aggregates in asphalt mixture using a modified convolutional neural network and multi-feature similarity weighted matching Automated design optimization framework for geometrically nonlinear and dynamic structures based on a differentiable finite particle method Imaging the internal structure of the existing bridge pile foundation using reverse time migration Adaptive non-intrusive substructure modeling framework for multiscale nonlinear damage analysis of large-scale RC structures Large language models enable intelligent decision-making for pavement maintenance Stage-based fitting of viscoelastic parameters for steel bridge deck pavement materials using an improved PELT algorithm and finite element validation An adaptive algorithm for identifying and characterizing multi-pulse ground motions Vision-based modal identification and weight estimation of vehicles Scalable AI computational framework for seismic response simulation of million-scale urban building clusters Three-stage risk-informed framework for developing dynamic inspection programs of large heterogenous infrastructure inventories Attention-enhanced dual-stage deep learning for automated tunnel crack detection and quantification A clustering-augmented transfer learning framework for tunnel boring machine cutterhead thrust prediction and risk warning Physics-informed temporal convolutional network with bidirectional gated recurrent unit developed for rapid prediction of seismic response time-histories of building structures A rapid optimization method for ballastless track irregularity based on dynamic chord constraints in track maintenance A dual-graph evidential transformer framework for highway vehicle trajectory prediction A personalized social force-based lane-changing model with a new optimizer A large language model-driven framework for automated bridge specification generation and simulation validation Thermo-mechanical modeling of pavement’s response considering asphalt concrete’s tension-compression asymmetry An adaptive deep neural network-based assessment framework for environmental-cost-mechanical performance of engineered cementitious composites Early warning model for secondary collapse of semi-ruined reinforced concrete frame structures under Aftershocks Prior-knowledge-infused neural network framework for experimental design of stochastic hybrid simulation