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Prediction of bed load sediments using different artificial neural network models

Reza ASHEGHI, Seyed Abbas HOSSEINI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2,   Pages 374-386 doi: 10.1007/s11709-019-0600-0

Abstract: Modeling and prediction of bed loads is an important but difficult issue in river engineering.based function (RBF), and generalized feed forward neural network using five dominant parameters of bed load

Keywords： bed load prediction     artificial neural network     modeling     empirical equations    

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An exploratory study for predicting component reliability with new load conditions

Zhengwei HU, Xiaoping DU

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1,   Pages 76-84 doi: 10.1007/s11465-018-0522-x

Abstract: Reliability is important to design innovation. A new product should be not only innovative, but also reliable. For many existing components used in the new product, their reliability will change because the applied Loads are different from the ones for which the components are originally designed and manufactured. Then the new reliability must be re-evaluated. The system designers of the new product, however, may not have enough information to perform this task. With a beam problem as a case study, this study explores a feasible way to re-evaluate the component reliability with new Loads given the following information: The original reliability of the component with respect to the component Loads and the distributions of the new component Loads. Physics-based methods are employed to build the equivalent component limit-state function that can predict the component failure under the new Loads. Since the information is limited, the re-evaluated component reliability is given by its maximum and minimum values. The case study shows that good accuracy can be obtained even though the new reliability is provided with the aforementioned interval.

Keywords： reliability     component     failure mode     prediction     random variable    

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A method to predict cooling load of large commercial buildings based on weather forecast and internal

Junbao JIA,Jincheng XING,Jihong LING,Ren PENG

Frontiers in Energy 2016, Volume 10, Issue 4,   Pages 459-465 doi: 10.1007/s11708-016-0424-8

Abstract: characteristics of the higher density and randomness, this paper presented an air-conditioning cooling loadprediction method based on weather forecast and internal occupancy density.linear feedback regression model was applied to predict, with precision, the air conditioning cooling loadCase analysis showed that the largest mean relative error of hourly and the daily predicting cooling load

Keywords： commercial building     load prediction     multiple linear regression    

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Short-term prediction of influent flow rate and ammonia concentration in municipal wastewater treatment

Shuai MA, Siyu ZENG, Xin DONG, Jining CHEN, Gustaf OLSSON

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 1,   Pages 128-136 doi: 10.1007/s11783-013-0598-9

Abstract: The prediction of the influent load is of great importance for the improvement of the control systemreconstruction; 2) typical cycle identification using power spectrum density analysis; 3) fitting and predictionday); 2) when the flow rate and NH concentrations present an obvious periodicity, the decreasing of predictionaccuracy is not distinct with increasing of the prediction time scales; 3) the periodicity influence

Keywords： influent load prediction     wavelet de-noising     power spectrum density     autoregressive model     time-frequency    

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Contact fatigue life prediction of a bevel gear under spectrum loading

Pan JIA, Huaiju LIU, Caichao ZHU, Wei WU, Guocheng LU

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1,   Pages 123-132 doi: 10.1007/s11465-019-0556-8

Abstract: Rolling contact fatigue (RCF) issues, such as pitting, might occur on bevel gears because load fluctuationtypical torque–time history on the driven axle is described, followed by the construction of program load

Keywords： bevel gear     rolling contact fatigue (RCF)     multiaxial fatigue criterion     load spectrum     damage accumulation    

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An Algorithm to compute damage from load in composites

Cyrille F. DUNANT, Stéphane P. A. BORDAS, Pierre KERFRIDEN, Karen L. SCRIVENER, Timon RABCZUK

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 2,   Pages 180-193 doi: 10.1007/s11709-011-0107-9

Abstract: We present a new method to model fracture of concrete based on energy minimisation. The concrete is considered on the mesoscale as composite consisting of cement paste, aggregates and micro pores. In this first step, the alkali-silica reaction is taken into account through damage mechanics though the process is more complex involving thermo-hygro-chemo-mechanical reaction. We use a non-local damage model that ensures the well-posedness of the boundary value problem (BVP). In contrast to existing methods, the interactions between degrees of freedom evolve with the damage evolutions. Numerical results are compared to analytical and experimental results and show good agreement.

Keywords： Concrete     damage     prediction     modelling     energy minimisation     ASR    

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Estimation of composite load model with aggregate induction motor dynamic load for an isolated hybrid

Nitin Kumar SAXENA,Ashwani Kumar SHARMA

Frontiers in Energy 2015, Volume 9, Issue 4,   Pages 472-485 doi: 10.1007/s11708-015-0373-7

Abstract: The composite load is a combination of the static and dynamic load model.To develop this composite load model, the exponential load is used as a static load model and inductionmotors (IMs) are used as a dynamic load model.This aggregate model is used as a dynamic load model.exponential model of static load and for the fifth and third order IM dynamic load model using state

Keywords： isolated hybrid power system (IHPS)     composite load model     static load     dynamic load     induction motor loadmodel     aggregate load    

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Calculation method of load distribution on pipe threaded connections under tension load

Shoujun CHEN, Lianxin GAO, Qi AN

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 2,   Pages 241-248 doi: 10.1007/s11465-011-0219-x

Abstract:

This paper presents a new calculation method that can calculate the load distribution on pipe threadedconnections under tension load.the new method on the sample of P-110S pipe threaded connection, the obtained results show that the loadThe model offers a new way to calculate the loads carried on the thread teeth under tension load.

Keywords： load distribution     calculation method     pipe threaded connections     tension load    

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Comparison of optimal capacitor placement methods in radial distribution system with load growth andZIP load model

Veera Venkata Satya Naryana MURTY, Ashwani KUMAR

Frontiers in Energy 2013, Volume 7, Issue 2,   Pages 197-213 doi: 10.1007/s11708-013-0249-7

Abstract: Furthermore, the load growth factor has been considered in the study which is essential for the planningand expansion of the existing systems, whereas the impact of the realistic load model as ZIP load model

Keywords： load growth     load models     reactive power compensation     radial distribution system     power loss index (PLI)    

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A practical multi-lane factor model of bridges based on multi-truck presence considering lane load disparities

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4,   Pages 877-894 doi: 10.1007/s11709-021-0756-2

Abstract: bridge design specifications consider multi-lane factors (MLFs) a critical component of the traffic loadapproach, the experimental site study yielded MLFs comparable with those directly calculated using traffic loadcaused the proposed approach, existing design specifications, and conventional approach of ignoring lane load

Keywords： bridges     multi-lane factor     traffic load     lane load disparity     multi-truck presence     weigh-in-motion    

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Shape design of arch dams under load uncertainties with robust optimization

Fengjie TAN, Tom LAHMER

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 852-862 doi: 10.1007/s11709-019-0522-x

Abstract: The optimization of an arch-type dam is realized here by a robust optimization method under load uncertaintyThe load uncertainty is modeled as an ellipsoidal expression.

Keywords： arch dam     shape optimization     robust optimization     load uncertainty     approximation model    

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Spatial prediction of soil contamination based on machine learning: a review

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1693-1

Abstract:

● A review of machine learning (ML) for spatial prediction of soil

Keywords： Soil contamination     Machine learning     Prediction     Spatial distribution    

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Influence of axial load on the lateral pile groups response in cohesionless and cohesive soil

Jasim M. ABBASA,Zamri CHIK,Mohd Raihan TAHA

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2,   Pages 176-193 doi: 10.1007/s11709-015-0289-7

Abstract: curves for lateral single pile response were improved with respect to the influence of increasing axial loadbe used in the evaluation of the lateral pile group action taking into account the effect of axial loadlateral resistance for the pile in the group relative to that for the single pile in case of pure lateral loadWhile, in case of simultaneous combined loads, large axial load intensities (i.e., more than 6 , whereis lateral load values) will have an increase in -multiplier by approximately 100% and will consequently

Keywords： piles     pile group     spacing     configuration     combined load    

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Analysis of load and adaptability of disc cutters during shield tunneling in soft–hard varied strata

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 4,   Pages 533-545 doi: 10.1007/s11709-023-0946-1

Abstract: to numerically simulate the failure process of materials on the excavation face and to calculate the loadThe results of numerical calculation can reflect the load level and the behavior of the disc cutters

Keywords： shield tunneling     disc cutter load     laboratory excavation test     numerical calculation     soft–hard varied    

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Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

Frontiers of Medicine 2022, Volume 16, Issue 3,   Pages 496-506 doi: 10.1007/s11684-021-0828-7

Abstract: The fracture risk of patients with diabetes is higher than those of patients without diabetes due to hyperglycemia, usage of diabetes drugs, changes in insulin levels, and excretion, and this risk begins as early as adolescence. Many factors including demographic data (such as age, height, weight, and gender), medical history (such as smoking, drinking, and menopause), and examination (such as bone mineral density, blood routine, and urine routine) may be related to bone metabolism in patients with diabetes. However, most of the existing methods are qualitative assessments and do not consider the interactions of the physiological factors of humans. In addition, the fracture risk of patients with diabetes and osteoporosis has not been further studied previously. In this paper, a hybrid model combining XGBoost with deep neural network is used to predict the fracture risk of patients with diabetes and osteoporosis, and investigate the effect of patients’ physiological factors on fracture risk. A total of 147 raw input features are considered in our model. The presented model is compared with several benchmarks based on various metrics to prove its effectiveness. Moreover, the top 18 influencing factors of fracture risks of patients with diabetes are determined.

Keywords： XGBoost     deep neural network     healthcare     risk prediction    

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Title Author Date Type Operation

Prediction of bed load sediments using different artificial neural network models

Reza ASHEGHI, Seyed Abbas HOSSEINI

Journal Article

An exploratory study for predicting component reliability with new load conditions

Zhengwei HU, Xiaoping DU

Journal Article

A method to predict cooling load of large commercial buildings based on weather forecast and internal

Junbao JIA,Jincheng XING,Jihong LING,Ren PENG

Journal Article

Short-term prediction of influent flow rate and ammonia concentration in municipal wastewater treatment

Shuai MA, Siyu ZENG, Xin DONG, Jining CHEN, Gustaf OLSSON

Journal Article

Contact fatigue life prediction of a bevel gear under spectrum loading

Pan JIA, Huaiju LIU, Caichao ZHU, Wei WU, Guocheng LU

Journal Article

An Algorithm to compute damage from load in composites

Cyrille F. DUNANT, Stéphane P. A. BORDAS, Pierre KERFRIDEN, Karen L. SCRIVENER, Timon RABCZUK

Journal Article

Estimation of composite load model with aggregate induction motor dynamic load for an isolated hybrid

Nitin Kumar SAXENA,Ashwani Kumar SHARMA

Journal Article

Calculation method of load distribution on pipe threaded connections under tension load

Shoujun CHEN, Lianxin GAO, Qi AN

Journal Article

Comparison of optimal capacitor placement methods in radial distribution system with load growth andZIP load model

Veera Venkata Satya Naryana MURTY, Ashwani KUMAR

Journal Article

A practical multi-lane factor model of bridges based on multi-truck presence considering lane load disparities

Journal Article

Shape design of arch dams under load uncertainties with robust optimization

Fengjie TAN, Tom LAHMER

Journal Article

Spatial prediction of soil contamination based on machine learning: a review

Journal Article

Influence of axial load on the lateral pile groups response in cohesionless and cohesive soil

Jasim M. ABBASA,Zamri CHIK,Mohd Raihan TAHA

Journal Article

Analysis of load and adaptability of disc cutters during shield tunneling in soft–hard varied strata

Journal Article

Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

Journal Article