concrete plant algorithm
Concrete Plant Operations Optimization Using Combined
Concrete Plant Operations Optimization Using Combined Simulation and Genetic Algorithms . By Ming Cao, Ming Lu and Jian-Ping Zhang. Get PDF (594 KB) Topics: Ready Mixed Concrete, Discrete-Event
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GitHub - swethalahari/Determining-Concrete-Strength
Jan 16, 2020 · If nothing happens, download GitHub Desktop and try again. Goal Using the data available in file concrete_data.xls. Apply feature engineering methods to obtain 85% to 95% accuracy (tolerance limit 95% of the time (confidence level). Resources Available The data for this project is available in file
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Concrete compressive strength prediction modeling
Feb 15, 2021 · One of the most critical parameters in concrete design is compressive strength. As the compressive strength of concrete is correctly measured, time and cost can be decreased. Concrete strength is relatively resilient to impacts on the environment. The production of concrete compressive strength is greatly influenced by severe weather conditions and increases in humidity rates. In this …
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Array-Measurement-Based Algorithm for Detecting Debonded
The objective of this study is to develop an array measurement-based algorithm to identify debonded regions between the concrete matrix and steel reinforcing bars of concrete structures. In the proposed procedure, an impact hammer excites one end of a concrete sample and a tri-axial accelerometer is then used to measure the resulting vibration
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OPTIMAL OPERATORS OF GENETIC ALGORITHM IN …
OPTIMAL OPERATORS OF GENETIC ALGORITHM IN OPTIMIZING SEGMENTAL PRECAST CONCRETE BRIDGES SUPERSTRUCTURE R. Ghiamat1, M. Madhkhan2 and T. Bakhshpoori*, 3 1Civil Engineering Group, Pardis College, Isfahan University of Technology, Isfahan, Iran 2Department of Civil Engineering, Isfahan University of Technology, Isfahan, Iran
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Modeling and Analysis of Ready Mix Concrete Slump using
slump for concrete design mix data collected from the other RMC batching plant. The knowledge extracted from RMC data in the form of a neural network model, is used to develop a decision support tool for estimating initial slump for the concrete design mix. As a result of hybridization, the GA, and LM backpropagation algorithm is shown to
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Real-time decision support for planning concrete plant
By integrating the vehicle tracking system, discrete-event simulation algorithm, and evolutionary optimization algorithm, we developed HKCONSIM-Realtime, a decision-support platform created specifically for handling ready-mixed concrete operations. This platform is capable of (1) tracking the positions of concrete trucks and monitoring the motion and status of concrete deliveries in real time
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Types of Ready Mix Concrete Plants and their Mixing Actions
Fig.1: Ready Mix Concrete Batching Plant. Dry Batch Ready Mix Concrete Plants This type of ready mix concrete plant produces uniform concrete mix through the mixing action of the truck mixer. The mixing action is basically a twofold mechanism. Consider the complex movement of already well mixed plastic concrete in the drum.
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Concrete plant operations optimization using combined
Aug 29, 2004 · Abstract: This work presents a new approach for concrete plant operations optimization by combining a ready mixed concrete (RMC) production simulation tool (called HKCONSIM) with a genetic algorithm (GA) based optimization procedure. A revamped HKCONSIM computer system can be used to automate the simulation model construction, conduct simulation experiments on certain …
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Evaluation of Concrete Plants Readiness to Produce High
In this algorithm, the goal is to evaluate readiness of concrete plants to produce high quality concrete based on the error rate of concrete compressive strength. Using past information and data mining techniques, this algorithm predicts the readiness level of concrete plants by similarity of their production factors to past information.
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How to Patent an Algorithm — KISSPatent
Aug 11, 2020 · It needs to be real, concrete, technical software. Abstract ideas don't work, you need to include a description of the underlying technology and how it solves a commercial problem. For example, you can't patent an app that'll let you know why your plants are dying if you're not capable of explaining clearly how it will work.
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Life Cycle Assessment of Concrete Production With a Focus
Life Cycle Assessment of Concrete Production With a Focus on Air Pollutants and the Desired Risk Parameters Using Genetic Algorithm J Environ Health Sci Eng . 2018 May 11;16(1):89-98. doi: 10.1007/s40201-018-0302-x.
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EVALUATION OF THE SUPERPLASTICIZER EFFECT ON THE …
concrete compressive strength using the tree-classification decision algorithm. KEYWORDS Concrete compressive strength, superplasticizer, tree-classification decision algorithm 1. INTRODUCTION Concrete compressive strength is a non-linear function of the concrete age and its constituents.
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What is a concrete batch plant? - Big D Ready Mix
Normally, a concrete batch plant can be of two types, depending upon how the mixing is done and when the concrete reaches the job site. The first is a ready-mix plant, which involves combining all ingredients for the concrete except for water, which is added as the final ingredient during transportation to a job site.
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How does a concrete batch plant work | Operation of
May 25, 2017 · Before we understand the working or operation of a concrete batch plant.It is important to understand the basic components and structure of a batching plant.We have mobile concrete plants installations in Philippines's city like: Bulacan, Cavite and Pampanga.It is a machine that combines various ingredients like aggregates, sand, water, cement and additives.These components are first …
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Heuristic algorithm for ready-mixed concrete plant
Dec 01, 2017 · Deligiannis and Manesis developed a hybrid model for a concrete batching and mixing plant, which can be used to adopt a development environment and actualize the influence of the operation parameters on RMC plant. A variety of algorithms such as genetic algorithm, heuristic algorithm, and a few hybrid algorithms are developed.
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A Technique based on Image Processing for Measuring …
detection performance. In addition, a morphological technique for shade correction is applied, and a detailed algorithm for calculating the width, length, and direction of cracks is proposed. The crack problem considered in this study is also significant to a reinforced concrete (RC) member of nuclear power plant (NPP) structures.
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Development of a non-dominated sorting genetic algorithm
Jul 01, 2021 · Development of a non-dominated sorting genetic algorithm for implementing circular economy strategies in the concrete industry. it was found that the amount of GHG emissions in the case where the recycling plant is located at the concrete plant is lower compared to the case where the recycling plant is outside of the plant.
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The Supply Chain Optimization of Ready Mix Concrete at PT
Apr 30, 2021 · This research optimizes the supply chain of ready mix concrete based on real-time data from a batching plant in Surabaya by using the metaheuristic method. The metaheuristic method used in this research are Particle Swarm Optimization (PSO) and Symbiotic Organisms Search (SOS), and also compares the performance of both metaheuristic algorithms
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Optimized ready mixed concrete truck scheduling for
This research proposes a systematic model by using bee algorithm to optimize ready mixed concrete truck scheduling problem from a single plant to multiple sized receivers in a large search space using uncertain factors of bee algorithm compared to genetic algorithm. The objective is to minimize the total waiting durations of RMC trucks.
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