Advances in Engineering Software

• A database on compressive strength of recycled aggregate concrete is built up.
• The compressive strength prediction models with high accuracy are constructed.
• The multi-objective optimization design of recycled aggregate concrete ...

This paper employs Support Vector Regression (SVR), Random Forest Regression (RF), Gradient Boosting (GB), and Extreme Gradient Boosting (XGB) algorithms to establish the compressive strength prediction models for Recycled Aggregate Concrete (RAC)...

• The static analysis of steel frames with uncertain semi-rigid connections is addressed
• The initial connection stiffness is expressed in terms of the so-called fixity factor
• The fixity factors are modelled as interval variables
• ...

The static analysis of steel frames with uncertain semi-rigid connections is addressed. The effects of connection flexibility are incorporated into the frame model by means of rotational springs at the end nodes of beams. Assuming an idealized ...

• An multi-strategy sparrow search algorithm with excellent search ability is proposed.
• A novel light gradient boosting machine is presented to establish the model.
• SHAP is used to identify significant features affecting high arch ...

Dam stress is an important physical quantity to assess high arch dam safety during the operation period. To address the issues of low prediction capability and poor interpretability for high arch dam stress, a prediction model for high arch dam ...

• GSOEM-SV was first proposed to predict slope stability.
• GSOEM-SV uses a soft voting method to integrate five mesh search hyperparameter optimized models.
• GSOEM-SV outperforms 15 improved models and 2 integrated models.
• A ...

Slope stability evaluation is a complex and uncertain system problem, and carrying out slope stability prediction is the prerequisite and foundation for slope disaster prevention. In order to achieve fast and accurate prediction of slope ...

• aircraft engine remaining useful life prediction method with the real engine flight data
• multilayered deep convolutional neural network architecture and a long short-term memory network with regression output
• comparison of the ...

Aircraft Engine Remaining Useful Life is a key factor which strongly affects flight operations safety and flight operators business decisions. In the article authors decided to present the concept of engine remaining useful life prediction. ...

• A software framework for automated analysis of mechanical metamaterials.
• Automated design, finite element modeling and evaluation.
• Different numerical formulations are integrated.
• The software framework is tested with well-...

Mechanical metamaterials have gained a lot of research interest over the last years due to their unusual mechanical properties and potential use for structural applications. However, the design and analysis of mechanical metamaterials remains ...

The operational speed of high-speed maglev trains has reached a groundbreaking 600 km/h, facilitating faster intercity transportation. However, the design and verification of corresponding high-power electric traction systems face significant ...

• Innovated virtual simulation experimental software for high-speed maglev train.
• Designed the simulation client and server architecture for electric traction system.
• Constructed virtual digital models to simulate 600km/h operational ...

In traditional train–bridge coupled system (TBCS), simply supported box girder bridges are often modeled using Euler beam elements, neglecting their spatial structure. This simplification may yield inaccurate results, impacting the running safety ...

• A new meshless model is proposed for box girder bridge and other box structures.
• This is the first time that the FSDT-RPIM computational scheme has been integrated into high-speed railway field.
• The proposed novel model can provide ...

• A mechanics–thermotics–chemistry coupling response model for energetic materials was developed based on the MPM3D.
• The continuous expansion and thickening of jet due to high-temperature and high-pressure products leads to the decrease ...

With its unique kinetic penetration/chemical implosion combined damage ability, reactive damage element (RDE) can greatly or even leap the damage power of ammunition warhead, and has a promising application prospect in the field of ammunition. ...

This groundbreaking study introduces a novel approach employing Extreme Fine-Tuning (XFT) combined with Explainable Artificial Intelligence (XAI) for the accurate, non destructive prediction of concrete compressive strength. By analyzing a state-...

• Integration of the ConcreteXAI dataset containing 18,480 samples with various tests.
• A new DNN model that can accurately predict the concrete compressive strength.
• Implementation of improving predictions in DNN models analyzing ...

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• A novel scheme, termed mixed cell compressed sparse row (mCCSR) is proposed to address the sparsity, block structure, and partial sub-matrix symmetry in the matrix.
• Time domain boundary element method (TDBEM) in elastodynamics.
• The ...

In this paper, a novel mixed cell compressed sparse row (mCCSR) scheme is proposed to address the sparsity, block structure, and partial sub-matrix symmetry inherent in the coefficient matrix of the time domain boundary element method (TDBEM) in ...

The entire procedure of tsunami events consists of wave generation and propagation toward the coastal structures encompassing the long-range system domain. Therefore, instead of an integrated continuous simulation, two or several consecutive ...

• An offline coupling approach using wave source boundary condition (WSBC) is proposed.
• Numerical accuracy and time efficiency of the WSBC are validated in SPH simulations.
• Time variations in physical fields in the input region are ...

• The utilization of machine learning approach.
• Compressive strength and sensitivity analysis of fly ash composite foam concrete.
• Development of eight machine learning models for estimating measured compressive strength.
• SVM ...

This study aims to propose a reliable machine learning model for predicting the compressive strength of fly ash composite foam concrete (FFC), improving the waste of work time, cost and resources due to over-testing. Firstly, 320 groups of FFC ...

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