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Predicting the Average Charring Rate of Mass Timber Using Data-Driven Methods for Structural Calculations
Engineered timber is increasingly in demand for tall buildings due to its positive impact on building sustainability. However, quick adoption raises...
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Evaluation of microstructure and prediction of hardness of Al–Cu based composites by using artificial neural network and linear regression through machine learning technique
Al–Cu alloy with B 4 C particulates will meet the specific application which includes window panel, seats, aircraft structure and aircraft fittings due...
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Pruning Long Short-Term Memory: A Model for Predicting the Stress–Strain Relationship of Normal and Lightweight Aggregate Concrete at Finite Temperature
While normal weight aggregate concrete (NWAC) can experience significant strength loss and spalling at high temperatures, lightweight aggregate...
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Nanoindentation Methods for Viscoelastic Characterization of Stiff Porous Materials
BackgroundModifying the mechanical properties of the solid phase of a porous material, in this study calcium-silicate-hydrate, is frequently possible...
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Support vector machine-based prediction of unconfined compressive strength of Multi-Walled Carbon nanotube doped soil-fly ash mixes
This comprehensive investigation explores the profound impact of multi-walled carbon nanotubes (MWCNT) on the unconfined compressive strength of...
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Ultraviolet Single-Camera Stereo-Digital Image Correlation for Deformation Measurement up to 2600 °C
BackgroundIn the mechanical testing of high-temperature structural materials, ultra-high temperature deformation measurement is very necessary and...
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Effectiveness of nonlinear kernel with memory for a functionally graded solid with size dependency
Structures made of graded composites play an important role in various industrial fields, such as aerospace and biomechanics. By incorporating...
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An integrated federated learning with CRSO of attention-based LSTM framework for efficient IoT DataStream prediction
Real-time data stream processing presents a significant challenge in the rapidly changing Internet of Things (IoT) environment. Traditional...
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Estimation of pile bearing capacity using hybrid models based on modified radial base function
Pile bearing capacity (P u ) is a vital aspect of geotechnical engineering and foundation design, representing the maximum load a single pile or a...
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In-memory computing: characteristics, spintronics, and neural network applications insights
In today's digital computing landscape, In-Memory Computing (IMC) has emerged as a revolutionary approach to tackling critical energy efficiency and...
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Exploring the Effect of Heat Treatment on the Mechanical Performance of 17-4PH Stainless Steel Specimens Fabricated by Metal Additive Manufacturing
BackgroundPowder bed fusion (PBF) offers enhanced opportunities to manufacture complex components with a high degree of geometric freedom. However,...
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Y-Shaped Cutting of Soft Solids: History and Best Practices
BackgroundThough proposed by Lake and Yeoh in 1978 for vulcanized rubber characterization and possessing unique advantages with respect to...
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Three-dimensional simulation of granular flow using a mesh-free numerical model
The study and modeling of granular materials using various rheological models are intriguing subjects in numerical simulations and are applicable for...
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Study of the effect of traffic and static loads on the stability and deformation of shallow urban utility tunnels
In this study, the effect of tunnel overburden under static loading, along with traffic loading caused by the passage of vehicles, on the rate of...
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The Emmons Problem Revisited
The “Emmons Problem” is a foundation of fire science and gives a mathematical boundary layer solution to the burning of a vaporizing fuel from the...
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Dissipation during crack growth in a viscoelastic material from a cohesive model for a finite specimen
In the present paper, we extend results recently given by Ciavarella et al. (J Mech Phys Solids 169:105096, 2022) to show some actual calculations of...
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Numerical Study on Thermal Runaway of LFP batteries Triggered by Low Temperature Heating
With the wide application of electric vehicles (EVs) in cold areas, low temperature heating of battery is becoming more and more mature, and the way...
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Influence of Cathode Materials on the Characteristics of Lithium-Ion Battery Gas Generation During Thermal Runaway
Gas generation of Lithium-ion batteries(LIB) during the process of thermal runaway (TR), is the key factor that causes battery fire and explosion....
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Optimal design of selected features of exhaust system shields using different optimization methods and artificial neural networks
The article presents problems related to methods of optimal design of heat shields used in exhaust systems of internal combustion engines. The...
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Automated diagnosis of premature ventricular contraction arrhythmia through electrocardiogram analysis and machine learning techniques
Premature ventricular beat and its attacks are one of the most common abnormalities that not only old people but also about 33% of heart diseases...
