Developing a physics-informed and physics-penalized neural network model for preliminary design of multi-stage friction pendulum bearings

Value iteration and adaptive optimal output regulation with assured convergence rate

(2022) Yi Jiang et al.   CONTROL ENGINEERING PRACTICE

A system reliability approach to real-time unsupervised structural health monitoring without prior information

(2022) Mohammad Hesam Soleimani-Babakamali et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Identification and Optimal Control of Nonlinear Systems Using Recurrent Neural Networks and Reinforcement Learning: An Overview

(2021) Adolfo Perrusquía et al.   NEUROCOMPUTING

Input-to-state stability of impulsive reaction–diffusion neural networks with infinite distributed delays

(2021) Tengda Wei et al.   NONLINEAR DYNAMICS

Benchmark and Survey of Automated Machine Learning Frameworks

(2021) Marc-André Zöller et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Deep Learning Method Based on Physics Informed Neural Network with Resnet Block for Solving Fluid Flow Problems

(2021) Chen Cheng et al.   Water

Structural Identification with Physics-informed Neural Ordinary Differential Equations

(2021) Zhilu Lai et al.   JOURNAL OF SOUND AND VIBRATION

A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics

(2021) Ehsan Haghighat et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Seismic isolation design of structure using variable friction pendulum bearings

(2021) Jiying Shang et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

The advancement of seismic isolation and energy dissipation mechanisms based on friction

(2021) Chunwei Zhang et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

A review of artificial neural networks in the constitutive modeling of composite materials

(2021) Xin Liu et al.   COMPOSITES PART B-ENGINEERING

Prediction of the residual flexural strength of fiber reinforced concrete using artificial neural networks

(2021) Marcello Congro et al.   CONSTRUCTION AND BUILDING MATERIALS

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

(2021) Moloud Abdar et al.   Information Fusion

Multifidelity modeling for Physics-Informed Neural Networks (PINNs)

(2021) Michael Penwarden et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Physics-informed machine learning for reduced-order modeling of nonlinear problems

(2021) Wenqian Chen et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Investigation of Machine Learning Methods for Structural Safety Assessment under Variability in Data: Comparative Studies and New Approaches

(2021) Hassan Sarmadi   JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES

A modified firefly algorithm applying on multi-objective radial-based function for blasting

(2021) Abbas Abbaszadeh Shahri et al.   NEURAL COMPUTING & APPLICATIONS

Physics-informed deep learning model in wind turbine response prediction

(2021) Xuan Li et al.   RENEWABLE ENERGY

Using committees of artificial neural networks with finite element modeling for steel girder bridge load rating estimation

(2021) Fayaz A. Sofi et al.   Structures

Updating the neural network sediment load models using different sensitivity analysis methods: a regional application

(2020) Reza Asheghi et al.   JOURNAL OF HYDROINFORMATICS

Predicting fiber‐reinforced polymer–concrete bond strength using artificial neural networks: A comparative analysis study

(2020) Rami Haddad et al.   Structural Concrete

Performance assessment of prestressed concrete bridge girders using fiber optic sensors and artificial neural networks

(2020) Omid Khandel et al.   Structure and Infrastructure Engineering

Physics‐Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems

(2020) A. M. Tartakovsky et al.   WATER RESOURCES RESEARCH

Landslide susceptibility mapping using hybridized block modular intelligence model

(2020) Abbas Abbaszadeh Shahri et al.   Bulletin of Engineering Geology and the Environment

Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems

(2020) Ameya D. Jagtap et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Physics-guided convolutional neural network (PhyCNN) for data-driven seismic response modeling

(2020) Ruiyang Zhang et al.   ENGINEERING STRUCTURES

Physics-Informed Neural Network for Ultrasound Nondestructive Quantification of Surface Breaking Cracks

(2020) Khemraj Shukla et al.   JOURNAL OF NONDESTRUCTIVE EVALUATION

Proposed Algorithm of Land Parcel Subdivision

(2020) Maan Habib   JOURNAL OF SURVEYING ENGINEERING

Physics-informed multi-LSTM networks for metamodeling of nonlinear structures

(2020) Ruiyang Zhang et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A hybridized intelligence model to improve the predictability level of strength index parameters of rocks

(2020) Abbas Abbaszadeh Shahri et al.   NEURAL COMPUTING & APPLICATIONS

Estimating model inadequacy in ordinary differential equations with physics-informed neural networks

(2020) Felipe A.C. Viana et al.   COMPUTERS & STRUCTURES

The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support

(2020) Saman Razavi et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Numerical Development and Assessment of 3D Quintuple Friction Pendulum Isolator Element Based on Its Analytical and Mathematical Models

(2019) Hamed Keikha et al.   JOURNAL OF EARTHQUAKE ENGINEERING

Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data

(2019) Luning Sun et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Adaptive activation functions accelerate convergence in deep and physics-informed neural networks

(2019) Ameya D. Jagtap et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Modeling the dynamics of PDE systems with physics-constrained deep auto-regressive networks

(2019) Nicholas Geneva et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Structural damage identification based on autoencoder neural networks and deep learning

(2018) Chathurdara Sri Nadith Pathirage et al.   ENGINEERING STRUCTURES

3D Filtering by Block Matching and Convolutional Neural Network for Image Denoising

(2018) Bei-Ji Zou et al.   JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY

Seismic Performance of Buildings with Viscous Damping Systems Designed by the Procedures of ASCE/SEI 7-16

(2018) Shoma Kitayama et al.   JOURNAL OF STRUCTURAL ENGINEERING

Recent advances in convolutional neural networks

(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

Historical development of friction-based seismic isolation systems

(2018) Paolo M. Calvi et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Seismic Performance of Buildings with Viscous Damping Systems Designed by the Procedures of ASCE/SEI 7-16

(2018) Shoma Kitayama et al.   JOURNAL OF STRUCTURAL ENGINEERING

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Behavior of Quintuple Friction Pendulum System Under Near-Fault Earthquakes

(2017) A. H. Sodha et al.   Journal of Earthquake and Tsunami

Quintuple Friction Pendulum Isolator: Behavior, Modeling, and Validation

(2016) Donghun Lee et al.   EARTHQUAKE SPECTRA

A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks

(2016) W. Chine et al.   RENEWABLE ENERGY

Seismic performance and probabilistic collapse resistance assessment of steel moment resisting frames with fluid viscous dampers

(2014) Choung-Yeol Seo et al.   EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS

ROC curves for regression

(2013) José Hernández-Orallo   PATTERN RECOGNITION

Concrete compressive strength analysis using a combined classification and regression technique

(2012) Jui-Sheng Chou et al.   AUTOMATION IN CONSTRUCTION

Experimental and analytical study of the bi-directional behavior of the triple friction pendulum isolator

(2011) Tracy C. Becker et al.   EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS

Prediction of compressive strength of SCC and HPC with high volume fly ash using ANN

(2008) B.K. Raghu Prasad et al.   CONSTRUCTION AND BUILDING MATERIALS