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Optimal design of double-layer barrel vaults using genetic and pattern search algorithms and optimized

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 3,   Pages 378-395 doi: 10.1007/s11709-022-0899-9

Abstract: This paper presents a combined method based on optimized neural networks and optimization algorithmsThe main idea is to utilize an optimized artificial neural network (OANN) as a surrogate model to reduceThe algorithms considered in this step are the arithmetic optimization algorithm (AOA) and genetic algorithmIn the first example, the performance of two algorithms, OANN + AOA + PS and OANN + GA + PS, is investigatedResults show that both the OANN + GA + PS and OANN + AOA + PS algorithms perform well in solving structural

Keywords： optimization     surrogate models     artificial neural network     SAP2000     genetic algorithm    

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Simulation of foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system optimizedby nature-inspired algorithms

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 61-79 doi: 10.1007/s11709-020-0684-6

Abstract: Concrete compressive strength prediction is an essential process for material design and sustainability. This study investigates several novel hybrid adaptive neuro-fuzzy inference system (ANFIS) evolutionary models, i.e., ANFIS–particle swarm optimization (PSO), ANFIS–ant colony, ANFIS–differential evolution (DE), and ANFIS–genetic algorithm to predict the foamed concrete compressive strength. Several concrete properties, including cement content (C), oven dry density (O), water-to-binder ratio (W), and foamed volume (F) are used as input variables. A relevant data set is obtained from open-access published experimental investigations and used to build predictive models. The performance of the proposed predictive models is evaluated based on the mean performance (MP), which is the mean value of several statistical error indices. To optimize each predictive model and its input variables, univariate (C, O, W, and F), bivariate (C–O, C–W, C–F, O–W, O–F, and W–F), trivariate (C–O–W, C–W–F, O–W–F), and four-variate (C–O–W–F) combinations of input variables are constructed for each model. The results indicate that the best predictions obtained using the univariate, bivariate, trivariate, and four-variate models are ANFIS–DE– (O) (MP= 0.96), ANFIS–PSO– (C-O) (MP= 0.88), ANFIS–DE– (O–W–F) (MP= 0.94), and ANFIS–PSO– (C–O–W–F) (MP= 0.89), respectively. ANFIS–PSO– (C–O) yielded the best accurate prediction of compressive strength with an MP value of 0.96.

Keywords： foamed concrete     adaptive neuro fuzzy inference system     nature-inspired algorithms     prediction of compressive    

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Short-term Load Forecasting Using Neural Network

Luo Mei

Strategic Study of CAE 2007, Volume 9, Issue 5,   Pages 77-80

Abstract: such as the low training speed and the possibility of being plunged into minimums local minimizing the optimizedfunction,  an optimized L-M algorithm, which can accelerate the training of neural network and

Keywords： short-term load forecasting(STLF)     ANN     Levenberg-Marquardt     Bayesian regularization     optimized algorithms    

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concentration of gluconic acid from an integrated fermentation and membrane process using response surface optimized

Parimal Pal, Ramesh Kumar, Subhamay Banerjee

Frontiers of Chemical Science and Engineering 2019, Volume 13, Issue 1,   Pages 152-163 doi: 10.1007/s11705-018-1721-z

Abstract: A response surface method was used to optimize the purification and concentration of gluconic acid from fermentation broth using an integrated membrane system. was used for the bioconversion of the glucose in sugarcane juice to gluconic acid (concentration 45 g?L ) with a yield of 0.9 g?g . The optimum operating conditions, such as trans-membrane pressure (TMP), pH, cross-flow rate (CFR) and initial gluconic acid concentration, were determined using response surface methodology. Five different types of polyamide nanofiltration membranes were screened and the best performing one was then used for downstream purification of gluconic acid in a flat sheet cross-flow membrane module. Under the optimum conditions (TMP= 12 bar and CFR= 400 L?h ), this membrane retained more than 85% of the unconverted glucose from the fermentation broth and had a gluconic acid permeation rate of 88% with a flux of 161 L?m ?h . Using response surface methods to optimize this green nanofiltration process is an effective way of controlling the production of gluconic acid so that an efficient separation with high flux is obtained.

Keywords： gluconic acid     optimized nanofiltration     green processing     process intensification    

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Erratum to: Optimized determination of airborne tetracycline resistance genes in laboratory atmosphere

Lu Song, Can Wang, Yizhu Wang

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 6, doi: 10.1007/s11783-020-1289-y

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Dynamic simulation based optimized design method of concrete production system for RCC dam

ZHAO Chunju, ZHOU Yihong

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 4,   Pages 405-410 doi: 10.1007/s11709-007-0055-6

Abstract: The construction system of roller compacted concrete (RCC) dam is running according to a series of connected procedures which are highly impacted and interacted consisting with the resource level. Therefore, a dynamic simulation mode

Keywords： interacted     dynamic simulation     construction     resource     RCC    

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Analytical algorithms of compressive bending capacity of bolted circumferential joint in metro shield

Frontiers of Structural and Civil Engineering   Pages 901-914 doi: 10.1007/s11709-023-0915-8

Abstract: Simplified analytical algorithms for four stress stages are established to describe the bearing behaviorsUsing the proposed simplified analytical algorithms, a parametric investigation is conducted to discuss

Keywords： shield tunnel     segment joint     joint structural model     failure mechanism    

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the terrain adaptability of a multirobot cooperative transportation system via novel connectors and optimized

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0754-2

Abstract: Given limited terrain adaptability, most existing multirobot cooperative transportation systems (MRCTSs) mainly work on flat pavements, restricting their outdoor applications. The connectors’ finite deformation capability and the control strategies’ limitations are primarily responsible for this phenomenon. This study proposes a novel MRCTS based on tracked mobile robots (TMRs) to improve terrain adaptability and expand the application scenarios of MRCTSs. In structure design, we develop a novel 6-degree-of-freedom passive adaptive connector to link multiple TMRs and the transported object (the communal payload). In addition, the connector is set with sensors to measure the position and orientation of the robot with respect to the object for feedback control. In the control strategy, we present a virtual leader–physical follower collaborative paradigm. The leader robot is imaginary to describe the movement of the entire system and manage the follower robots. All the TMRs in the system act as follower robots to transport the object cooperatively. Having divided the whole control structure into the leader robot level and the follower robot level, we convert the motion control of the two kinds of robots to trajectory tracking control problems and propose a novel double closed-loop kinematics control framework. Furthermore, a control law satisfying saturation constraints is derived to ensure transportation stability. An adaptive control algorithm processes the wheelbase uncertainty of the TMR. Finally, we develop a prototype of the TMR-based MRCTS for experiments. In the trajectory tracking experiment, the developed MRCTS with the proposed control scheme can converge to the reference trajectory in the presence of initial tracking errors in a finite time. In the outdoor experiment, the proposed MRCTS consisting of four TMRs can successfully transport a payload weighing 60 kg on an uneven road with the single TMR’s maximum load limited to 15 kg. The experimental results demonstrate the effectiveness of the structural design and control strategies of the TMR-based MRCTS.

Keywords： multirobot system     cooperative transportation     terrain adaptability     trajectory tracking     collaborative paradigm     uneven road    

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Crack detection of the cantilever beam using new triple hybrid algorithms based on Particle Swarm Optimization

Amin GHANNADIASL; Saeedeh GHAEMIFARD

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 9,   Pages 1127-1140 doi: 10.1007/s11709-022-0838-9

Abstract: This paper deals with the inverse analysis of the crack detection problems using triple hybrid algorithmspaper, this is applied to identify crack location and depth in a cantilever beam using the new hybrid algorithmsThe results show that among the proposed triple hybrid algorithms, the PSO-GA-FA and PSO-GWO-FA algorithms

Keywords： crack     cantilever beam     triple hybrid algorithms     Particle Swarm Optimization    

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A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1688-y

Abstract:

● A novel VMD-IGOA-LSTM model has proposed for the prediction of water quality.

Keywords： Water quality prediction     Grasshopper optimization algorithm     Variational mode decomposition     Long short-term memory neural network    

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Multi-objective genetic algorithms based structural optimization and experimental investigation of the

Pengxing YI,Lijian DONG,Tielin SHI

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 354-367 doi: 10.1007/s11465-014-0319-5

Abstract: minimum mass of the studied part, is proposed by combining the response surface method and genetic algorithmsCompared with the original design, the mass and the stress of the optimized planet carrier are respectively

Keywords： planet carrier     multi-objective optimization     genetic algorithms     wind turbine gearbox     modal experiment    

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Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1667-3

Abstract:

● Hybrid deep-learning model is proposed for water quality prediction.

Keywords： Water quality prediction     Soft-sensor     Anaerobic process     Tree-structured Parzen Estimator    

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Development of surface reconstruction algorithms for optical interferometric measurement

Dongxu WU, Fengzhou FANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 1,   Pages 1-31 doi: 10.1007/s11465-020-0602-6

Abstract: Theoretical background and recent advances of fringe analysis algorithms, including coherence peak sensing

Keywords： surface topography     measurement     optical interferometry     coherence envelope     phase-shifting algorithm    

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An optimized solar-air degree-day method to evaluate energy demand for poultry buildings in different

Yang WANG, Baoming LI

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 4,   Pages 478-489 doi: 10.15302/J-FASE-2019289

Abstract:

The degree-day method is widely used to determine energy consumption but cannot be directly applied to poultry buildings without improvements in its accuracy. This study was designed to optimize the degree-day calculation and proposes a solar-air degree-day method, which can be used to calculate the cooling and heating degree-days and the annual cooling and heating loads under different climate conditions for poultry buildings. In this paper, the solar-air degree-day method was proposed, which considers the effects of solar radiation with different wall orientations and surface colors. Five Chinese cities, Harbin, Beijing, Chongqing, Kunming and Guangzhou, were selected to represent different climate zones to determine the solar-air degree-days. The heating and cooling energy requirements for different climates were compared by DeST (Designer’s Simulation Toolkit) simulation and the solar-air degree-day method. Approaches to decrease energy consumption were developed. The results showed that the maximum relative error was less than 10%, and the new method was not significantly different from the DeST simulation ( >0.05). The accuracy of calculating energy requirements was improved by the solar-air degree-day method in the different climate zones. Orientation and surface color effects on energy consumption need to be considered, and external walls of different orientations should have different surface colors.

Keywords： base temperature     energy consumption     solar radiation     orientation     surface color    

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Survey of the Algorithms on Association Rule Mining

Bi Jianxin,Zhang Qishan

Strategic Study of CAE 2005, Volume 7, Issue 4,   Pages 88-94

Abstract:

In this paper the principle of the algorithms on association rule mining is introduced firstly, andresearches of the algorithms on association rule mining are summarized in turn according to variableAt the same time some typical algorithms are analyzed and compared.

Keywords： data mining     association rule     algorithms     survey    

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Title Author Date Type Operation

Optimal design of double-layer barrel vaults using genetic and pattern search algorithms and optimized

Journal Article

Simulation of foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system optimizedby nature-inspired algorithms

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

Journal Article

Short-term Load Forecasting Using Neural Network

Luo Mei

Journal Article

concentration of gluconic acid from an integrated fermentation and membrane process using response surface optimized

Parimal Pal, Ramesh Kumar, Subhamay Banerjee

Journal Article

Erratum to: Optimized determination of airborne tetracycline resistance genes in laboratory atmosphere

Lu Song, Can Wang, Yizhu Wang

Journal Article

Dynamic simulation based optimized design method of concrete production system for RCC dam

ZHAO Chunju, ZHOU Yihong

Journal Article

Analytical algorithms of compressive bending capacity of bolted circumferential joint in metro shield

Journal Article

the terrain adaptability of a multirobot cooperative transportation system via novel connectors and optimized

Journal Article

Crack detection of the cantilever beam using new triple hybrid algorithms based on Particle Swarm Optimization

Amin GHANNADIASL; Saeedeh GHAEMIFARD

Journal Article

A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM

Journal Article

Multi-objective genetic algorithms based structural optimization and experimental investigation of the

Pengxing YI,Lijian DONG,Tielin SHI

Journal Article

Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured

Journal Article

Development of surface reconstruction algorithms for optical interferometric measurement

Dongxu WU, Fengzhou FANG

Journal Article

An optimized solar-air degree-day method to evaluate energy demand for poultry buildings in different

Yang WANG, Baoming LI

Journal Article

Survey of the Algorithms on Association Rule Mining

Bi Jianxin,Zhang Qishan

Journal Article