The Use of GA and PSO in Evaluating the Shear Strength of Steel Fiber Reinforced Concrete Beams

Jiandong Huang,Mengmeng Zhou,Jia Zhang,Jiaolong Ren,Nikolai Ivanovich Vatin,Mohanad Muayad Sabri Sabri 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.9

Shear failure in concrete specimens and beams is one of the most sensitive cases in construction projects. Since the shear strength of specimens is affected by various parameters, it is important to study them to arrive at a predictive relationship or model. This research has used the computational methods of machine learning to achieve a new evaluation of the shear strength of reinforced concrete (RC) beams. In the first step, 85 laboratory samples were examined. These samples had different geometric and non-geometric properties. The effect of each parameter was examined for smart models, then the optimal state of the parameters was determined. By optimizing the number of parameters, basic models were developed. The different structures of these models were investigated for the accurate evaluation of the shear strength of the samples. Finally, in the second step, the particle swarm optimization (PSO) and genetic algorithm (GA) were used to perpetuate and optimize the weights of the base models. The hybrid models were developed and applied with different structures for evaluation of shear strength and the best models were selected from them. The results showed that both models offer better performance than the base model. However, the GA-based model achieved higher accuracy and less error than the PSO-based model. Finally, the performance of these models was used for new data to evaluate their performance. As the main achievement of this research, these methods can be recommended and implemented for other conditions as well.

Influence of porosity and cement grade on concrete mechanical properties

Huang, Jiandong,Alyousef, Rayed,Suhatril, Meldi,Baharom, Shahrizan,Alabduljabbar, Hisham,Alaskar, Abdulaziz,Assilzadeh, Hamid Techno-Press 2020 Advances in concrete construction Vol.10 No.5

The given research focuses on examining the effect of relatively humidity (RH) and curing temperature on the hydrates as well as the porosity of calcium sulfoaluminate (CSA) cement pastes. Numerous tests, which consist of mercury intrusion porosimetry (MIP), thermosgravi metric (TG) and X-ray diffraction (XRD) were conducted. Various characterization techniques which include, scanning electron microscopy, Fourier transform microscopy along with X-ray diffraction evaluations were conducted on the samples to examine phase formation and crystallinity, morphology and microstructure along with bond formations and functional groups, respectively. During long-term study, the performance of concrete which consisted of limestone and flash-calcined was close to those from standard Portland cement concrete. Traditional classifications and methods of corrosion were widely used for the assessment of steel in concrete which may get employed to concrete which contains LC3 to recalibrate the range of polarization resistance for passitivity condition. For example, there is up to 79.5% and 146% respective flexural and compressive strengths. Moreover, they developed more advance electrical and thermo-mechanical performance with a substantial reduction in absorption of water of close to 400%. These advantages allow this research crucial to evaluate how these methods can be applied. Additionally, the research evaluates developed and more advanced cement preservation and repair techniques. The conclusion suggests concerted efforts by various stakeholders such as policy makers to enable low-carbon rates.

Discrete Terminal Integral Sliding-Mode Backstepping Speed Control of SMPMSM Drives Based on Ultra-Local Mode

Huang Jiandong,Li Hongmei,Yang Liguo,Zhao Haonan,Zhang Peng 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.4

In this paper, a novel discrete terminal integral sliding-mode backstepping control (DTISM-BSC) is proposed for the surface-mounted permanent magnet synchronous motor (SMPMSM) drive system, which improves the speed tracking performance and robustness of the system. In this control scheme, the discrete ultra-local model (ULM) of the SMPMSM drives, which employs the algebraic parameter identification technology to handle the unknown disturbance and parametric uncertainties, is first set up. Then, the terminal integral sliding-mode surface is proposed for its advantages of finite-time convergence to achieve speed rapid tracking, in which the control performance of backstepping control is improved. Thirdly, the equivalent control law is combined with the designed switching law to construct the speed controller based on the ULM. In this case, the bounded function is adopted to improve chattering problem. Meanwhile, the asymptotic stability and rapid convergence is verified. Finally, the experimental comparisons between the proposed method and the non-singular terminal sliding mode backstepping control (NTSM-BSC) are developed to validate the effectiveness of the proposed DTISM-BSC.

Vulnerability of East Asian bumblebee species to future climate and land cover changes

Naeem, Muhammad,Liu, Meijuan,Huang, Jiaxing,Ding, Guiling,Potapov, Grigory,Jung, Chuleui,An, Jiandong Elsevier 2019 Agriculture, ecosystems & environment Vol.277 No.-

<P><B>Abstract</B></P> <P>Pollinators play a key role in agricultural and natural ecosystems, but their biodiversity is highly vulnerable to the impact of environmental changes. Here, we evaluated the distributional responses of 29 bumblebee species endemic to East Asia to future (2050s and 2070s) climate and land cover changes, and 17–27 (59–93 %) of the species exhibited range contraction. A decrease in species richness from 25 to 19 species in the highest region of central China was also detected due to range shifts of 17 km to 574 km. Furthermore, one (3.44%), three to five (10–17 %), and two to eight (7–28 %) of the 29 bumblebee species were predicted to become critically endangered, endangered and vulnerable in the future, respectively. Our study highlights the strong impact of environmental changes on species distributions, and we suggest strategies for the conservation of vulnerable species that include protecting the regions of high species richness and the most dominant land covers within the current range to mitigate the threat of environmental changes.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Pollinators are under threat from climate and climate-induced land cover changes. </LI> <LI> Distributional responses were predicted for 29 bumblebee species in East Asia. </LI> <LI> Of the studied species, 59–93 % experienced range loss in the future. </LI> <LI> Species richness declined within central mainland China and northeastern Asia. </LI> <LI> Conserving regions with high species richness and dominant land covers is needed. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

Adaptive Label Propagation Algorithm to Detect Overlapping Community in Complex Networks

Chunying Li,Yonghang Huang,Zhikang Tang,Yong Tang,Jiandong Zhao 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.8

According to the defects that community detection algorithm in unknown complex networks has a pre-parameter. We propose Adaptive Label Propagation Algorithm (ALPA) to detect community structures in complex networks. The ALPA algorithm find out all disjoint Maximal Clique (MC) and let each MC share the identical weight and unique label so as to reduce the redundant labels and uncontrollable factors. The stability of ALPA algorithm is enhanced by synchronous update during iterations. Meanwhile it will converge easily due to the termination condition that all of the vertexes have the label. During iterations we use the adaptive threshold method to overcome the pre-parameter limitation. Compared with other community detection algorithms in synthetic networks and real networks, our experiments show that ALPA algorithm not only improves the tolerance of mixing parameter, but also enhances its robustness.

Cytochrome Oxidase I sequence variation of Bombus ignitus (Hymenoptera, Apidae) and relationship among commercial and wild populations

Saeed Mohamadzade Namin,Jiaxing Huang,Jiandong An,Chuleui Jung 한국응용곤충학회 2020 한국응용곤충학회 학술대회논문집 Vol.2020 No.05

Model-Free Adaptive Integral Backstepping Control for PMSM Drive Systems

Li, Hongmei,Li, Xinyu,Chen, Zhiwei,Mao, Jingkui,Huang, Jiandong The Korean Institute of Power Electronics 2019 JOURNAL OF POWER ELECTRONICS Vol.19 No.5

A SMPMSM drive system is a typical nonlinear system with time-varying parameters and unmodeled dynamics. The speed outer loop and current inner loop control structures are coupled and coexist with various disturbances, which makes the speed control of SMPMSM drive systems challenging. First, an ultra-local model of a PMSM driving system is established online based on the algebraic estimation method of model-free control. Second, based on the backstepping control framework, model-free adaptive integral backstepping (MF-AIB) control is proposed. This scheme is applied to the permanent magnet synchronous motor (PMSM) drive system of an electric vehicle for the first time. The validity of the proposed control scheme is verified by system simulations and experimental results obtained from a SMPMSM drive system bench test.

Model Free Deadbeat Predictive Speed Control of Surface-Mounted Permanent Magnet Synchronous Motor Drive system

Yanan Zhou,Hongmei Li,Hengguo Zhang,Jingkui Mao,Jiandong Huang 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.1

In the predictive controlled surface-mounted permanent magnet synchronous motor (SMPMSM) drive system, parametric uncertainties and external disturbances lead to model mismatch and eventually causing the performance degradation. Consequently, this paper proposed a model free deadbeat predictive speed controller (MFDPSC) based on the ultra-local model and deadbeat predictive control. The ultra-local model is established through the input and output variable of the speed loop within parametric uncertainties and external disturbances, then it is used as the predictive model for the design of MFDPSC. The proposed method avoids the requirement of the knowledge of the SMPMSM drive system, and therefore ensures the system robustness. At last, the simulation and experiment are implemented to verify the speed tracking performance of the proposed method, and the results show that the proposed method is robust to parametric uncertainties and external disturbances.

Model-Free Adaptive Integral Backstepping Control for PMSM Drive Systems

Hongmei Li,Xinyu Li,Zhiwei Chen,Jingkui Mao,Jiandong Huang 전력전자학회 2019 JOURNAL OF POWER ELECTRONICS Vol.19 No.5

A SMPMSM drive system is a typical nonlinear system with time-varying parameters and unmodeled dynamics. The speed outer loop and current inner loop control structures are coupled and coexist with various disturbances, which makes the speed control of SMPMSM drive systems challenging. First, an ultra-local model of a PMSM driving system is established online based on the algebraic estimation method of model-free control. Second, based on the backstepping control framework, modelfree adaptive integral backstepping (MF-AIB) control is proposed. This scheme is applied to the permanent magnet synchronous motor (PMSM) drive system of an electric vehicle for the first time. The validity of the proposed control scheme is verified by system simulations and experimental results obtained from a SMPMSM drive system bench test.