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Intelligent identification of concrete uniformity based on dynamic mixing
The uniformity of concrete is an important reference for the maturity of concrete, and is also closely related to the quality and safety of the...
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Explosion damage analysis of concrete structure with bond-associated non-ordinary state-based peridynamics
Peridynamics has unique advantages in solving discontinuity problems such as explosive damage of structures. To further promote the peridynamic...
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Fast and intelligent measurement of concrete aggregate volume based on monocular vision map**
In order to prevent the abnormal appearance of gravel aggregate material level in the mixing plant, improve the safety of the concrete mixing plant...
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Reliability intelligence analysis of concrete arch bridge based on Kriging model and PSOSA hybrid algorithm
The traditional probabilistic reliability analysis method has problems such as poor convergence, low calculation accuracy, and long time consumption...
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Lightweight Bi-LSTM method for the prediction of mechanical properties of concrete
Concrete is the predominant material in the construction industry, offering a wide range of mechanical attributes, including impressive compressive...
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Prediction and modeling of mechanical properties of concrete modified with ceramic waste using artificial neural network and regression model
Over two centuries, concrete has been crucial to building. Thus, eco-friendly concrete is being developed. Emulating these tangible traits has...
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A PDROD model of reinforced concrete based on peridynamics and rod elements
The difficulties in dealing with steel skeleton frames and low computational efficiency are the major obstacles for applying peridynamics (PD) to...
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Environmental and Economic Analysis of Using Recycled Concrete Aggregates in Composite Steel-Concrete Slabs
The needs to reduce the environmental impact of concrete buildings is gaining more importance. In particular the consumption of natural aggregates...
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A Lean Reflective Abstract State Machine Definition
We propose a definition of a class of reflective Abstract State Machines (ASMs) that extends the class of Parallel Guarded Assignments (PGAs), a...
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Develo** an ANN prediction model for compressive strength of fly ash-based geopolymer concrete with experimental investigation
In recent times, the research on geopolymer concrete (GPC) using fly ash was performed extensively, due to its comparable properties as similar to...
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Concrete Syntax
Models and meta-models, algebraic data types and values, XML schemas and files, class and instance diagrams, YAML files—all these abstractsyntax...
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Hybrid bio-inspired metaheuristic approach for design compressive strength of high-strength concrete-filled high-strength steel tube columns
The specifications of AISC 360 and Eurocode 4 for the design of composite columns limit the maximum steel tube yield stress and concrete compressive...
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Concrete deterioration detection in sewers using machine learning algorithms: an experiment-based study
Robots can be used to make the work of human beings easier in dangerous environments and for repetitive tasks that are hard to perform all day. There...
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Classification for the Concrete Syntax of Graph-Like Modeling Languages
A classification scheme for Graph-Like Modeling Languages (GLML) is presented in this paper. The novelty of this classifier lies in its application...
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Concrete Analysis of Quantum Lattice Enumeration
Lattice reduction algorithms such as BKZ (Block-Korkine-Zolotarev) play a central role in estimating the security of lattice-based cryptography. The...
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Artificial neural networks (ANN), MARS, and adaptive network-based fuzzy inference system (ANFIS) to predict the stress at the failure of concrete with waste steel slag coarse aggregate replacement
Concrete is a very flexible composite material that is extensively employed in the building industry. Steel slag is a waste material produced during...
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Prediction Method of Crack Depth of Concrete Building Components Based on Ultrasonic Signal
Cracks in concrete components have a serious impact on the safety of building structures. On the one hand, with the increase of service life, cracks...
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Support vector regression (SVR) and grey wolf optimization (GWO) to predict the compressive strength of GGBFS-based geopolymer concrete
Geopolymer concrete is an eco-efficient and environmentally friendly construction material. Various ashes were used as the binder in geopolymer...
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Micro-concrete crack detection of underwater structures based on convolutional neural network
Micro-cracks are often generated on the concrete structures of long-distance water conveyance projects. Without early detection and timely...
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A novel whale optimization algorithm optimized XGBoost regression for estimating bearing capacity of concrete piles
This paper presents a hybrid model combining the extreme gradient boosting machine (XGBoost) and the whale optimization algorithm (WOA) to predict...
