Fuzzy neural network controller of interconnected method for civil structures

Chen, Z.Y.,Meng, Yahui,Wang, Ruei-yuan,Chen, Timothy Techno-Press 2022 Advances in concrete construction Vol.13 No.5

Recently, an increasing number of cutting-edged studies have shown that designing a smart active control for real-time implementation requires piles of hard-work criteria in the design process, including performance controllers to reduce the tracking errors and tolerance to external interference and measure system disturbed perturbations. This article proposes an effective artificial-intelligence method using these rigorous criteria, which can be translated into general control plants for the management of civil engineering installations. To facilitate the calculation, an efficient solution process based on linear matrix (LMI) inequality has been introduced to verify the relevance of the proposed method, and extensive simulators have been carried out for the numerical constructive model in the seismic stimulation of the active rigidity. Additionally, a fuzzy model of the neural network based system (NN) is developed using an interconnected method for LDI (linear differential) representation determined for arbitrary dynamics. This expression is constructed with a nonlinear sector which converts the nonlinear model into a multiple linear deformation of the linear model and a new state sufficient to guarantee the asymptomatic stability of the Lyapunov function of the linear matrix inequality. In the control design, we incorporated H Infinity optimized development algorithm and performance analysis stability. Finally, there is a numerical practical example with simulations to show the results. The implication results in the RMS response with as well as without tuned mass damper (TMD) of the benchmark building under the external excitation, the El-Centro Earthquake, in which it also showed the simulation using evolved bat algorithmic LMI fuzzy controllers in term of RMS in acceleration and displacement of the building.

Dynamic intelligent control of composite buildings by using M-TMD and evolutionary algorithm

Yahui Meng,Z.Y. Chen,Ruei-Yuan Wang,Sheng-Hsiang Peng,Yaoke Yang,Timothy Chen 국제구조공학회 2022 Steel and Composite Structures, An International J Vol.42 No.5

The article deals with the possibilities of vibration stimulation. Based on the stability analysis, a multi-scale approach with a modified whole-building model is implemented. The motion equation is configured for a controlled bridge with a MDOF (multiple dynamic degrees of freedom) Tuned Mass Damper (M-TMD) system, and a combination of welding, excitation, and control effects is used with its advanced packages and commercial software submodel. Because the design of high-performance and efficient structural systems has been of interest to practical engineers, systematic methods of structural and functional synthesis of control systems must be used in many applications. The smart method can be stabilized by properly controlling the high frequency injection limits. The simulation results illustrate that the multiple modeling method used is consistent with the accuracy and high computational efficiency. The M-TMD system, even with moderate reductions in critical pressure, can significantly suppress overall feedback on an unregulated design.

Smart structural control and analysis for earthquake excited building with evolutionary design

Z.Y. Chen,Ruei-yuan Wang,Yahui Meng,Qiuli Fu,Timothy Chen 국제구조공학회 2021 Structural Engineering and Mechanics, An Int'l Jou Vol.79 No.2

In recent years, with the maximization of control design and efficiency, and the improvement of economy and energy efficiency, building technology and control in the theory have attracted the attention of lots researchers. By trying various control theorems, many numerical methods have been investigated in the literature to achieve this target, but all these numerical methods are difficult to work out the problem correctly. This paper puts forward a potentially feasible evolutionary bat algorithm (EB) method for active control of earthquake-induced vibration in building structures. Based disturbance observer based control and S surface combined with the robust adaptive control scheme for solving optimization problems proposed, an important contribution in the control law is what the configuration control in the present study should not require known uncertainty limits and the disturbance is eliminated. A simulation case study was proposed to illustrate the possibility of implementing an apparent learning method in ANN to effectively control structural vibration under the influence of systematic motion under earthquake citations. The proposed learning numerical methods does not need to develop a mathematical model of structural dynamics or train another neural network to approximate the actual structural response to be performed.

Smart modified repetitive-control design for nonlinear structure with tuned mass damper

Z.Y. Chen,Ruei-Yuan Wang,Yahui Meng,Timothy Chen 국제구조공학회 2023 Steel and Composite Structures, An International J Vol.46 No.1

A new intelligent adaptive control scheme was proposed that combines observer disturbance-based adaptive control and fuzzy adaptive control for a composite structure with a mass-adjustable damper. The most important advantage is that the control structures do not need to know the uncertainty limits and the interference effect is eliminated. Three adjustable parameters in LMI are used to control the gain of the 2D fuzzy control. Binary performance indices with weighted matrices are constructed to separately evaluate validation and training performance using the revalidation learning function. Determining the appropriate weight matrix balances control and learning efficiency and prevents large gains in control. It is proved that the stability of the control system can be ensured by a linear matrix theory of equality based on Lyapunov's theory. Simulation results show that the multilevel simulation approach combines accuracy with high computational efficiency. The M-TMD system, by slightly reducing critical joint load amplitudes, can significantly improve the overall response of an uncontrolled structure.

Stochastic intelligent GA controller design for active TMD shear building

Z.Y. Chen,Sheng-Hsiang Peng,Ruei-Yuan Wang,Yahui Meng,Qiuli Fu,Timothy Chen 국제구조공학회 2022 Structural Engineering and Mechanics, An Int'l Jou Vol.81 No.1

The problem of optimal stochastic GA control of the system with uncertain parameters and unsure noise covariates is studied. First, without knowing the explicit form of the dynamic system, the open-loop determinism problem with path optimization is solved. Next, Gaussian linear quadratic controllers (LQG) are designed for linear systems that depend on the nominal path. A robust genetic neural network (NN) fuzzy controller is synthesized, which consists of a Kalman filter and an optimal controller to assure the asymptotic stability of the discrete control system. A simulation is performed to prove the suitability and performance of the recommended algorithm. The results indicated that the recommended method is a feasible method to improve the performance of active tuned mass damper (ATMD) shear buildings under random earthquake disturbances.

Composite components damage tracking and dynamic structural behaviour with AI algorithm

Z.Y. Chen,Sheng-Hsiang Peng,Yahui Meng,Ruei-Yuan Wang,Qiuli Fu,Timothy Chen 국제구조공학회 2022 Steel and Composite Structures, An International J Vol.42 No.2

This study discusses a hypothetical method for tracking the propagation damage of Carbon Reinforced Fiber Plastic (CRFP) components underneath vibration fatigue. The High Cycle Fatigue (HCF) behavior of composite materials was generally not as severe as this of admixture alloys. Each fissure initiation in metal alloys may quickly lead to the opposite. The HCF behavior of composite materials is usually an extended state of continuous degradation between resin and fibers. The increase is that any layer-to-layer contact conditions during delamination opening will cause a dynamic complex response, which may be non-linear and dependent on temperature. Usually resulted from major deformations, it could be properly surveyed by a non-contact investigation system. Here, this article discusses the scanning laser application of that vibrometer to track the propagation damage of CRFP components underneath fatigue vibration loading. Thus, the study purpose is to demonstrate that the investigation method can implement systematically a series of hypothetical means and dynamic characteristics. The application of the relaxation method based on numerical simulation in the Artificial Intelligence (AI) Evolved Bat (EB) strategy to reduce the dynamic response is proved by numerical simulation. Thermal imaging cameras are also measurement parts of the chain and provide information in qualitative about the temperature location of the evolution and hot spots of damage.

Pyrene-based bisboronic sensors for multichannel enantioselective recognition of tartaric acid

Xiao, Ting,Wang, Fang,Chen, Yahui,Yang, Xiao,Wei, Tingwen,Liu, Chuantao,Chen, Shuangjun,Xu, Zhijun,Yoon, Juyoung,Chen, Xiaoqiang Elsevier 2019 Dyes and pigments Vol.163 No.-

<P><B>Abstract</B></P> <P>New chiral bisboronic receptors based on pyrene-excimer were synthesized and applied for the determination of absolute configuration and enantiomeric composition of tartaric acid. The distinction was visualized by portable UV lamp in certain concentration range. There were three ways for the sensors to enantioselectively recognize tartaric acid, including the fluorescence spectrum, UV–vis spectrum, and CD spectrum. The enantiomeric excess of tartaric acid was measured quantitatively by using fluorescence analytical technique. Compared with the previous chiral boronic acid sensors, sensor <B>1</B> showed weaker background fluorescence and excellent chiral recognition ability of D/<SMALL>L</SMALL>-tartaric acid throughout the whole pH range.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Two pyrene-based sensors for enantioselective recognition of tartaric acid were synthesized. </LI> <LI> Three ways to recognize tartaric acid, including the fluorescence spectrum, UV–vis spectrum, and CD spectrum. </LI> <LI> Sensor <B>1</B> showed weaker background fluorescence and recognized tartaric acid throughout wider pH range. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>Pyrene-based chiral discrimination of tartaric acid including the fluorescence spectrum and CD spectrum.</P> <P>[DISPLAY OMISSION]</P>

Development of an Efficient and Controllable Nano-porous Copper with Good Wettability and Capillary Performance for Wicks of Vapor Chamber

Chen Sizhen,Cai Han,Li Yahui,Zhang Qi,Sun Yunna,Ding Guifu 대한금속·재료학회 2022 ELECTRONIC MATERIALS LETTERS Vol.18 No.5

To meet the heat dissipation requirements of microelectronic devices, it is urgent to develop an efficient method to fabricate a controllable micro/nano structure for the wick in vapor chamber, which is widely investigated for its high thermal conductivity and small size. This work proposed a controllable fabrication of nano-porous copper (NPC) with high efficiency, which includes electrodeposition and dealloying. A uniform Cu–Zn alloy with single phase was prepared as the precursor for dealloying through electrodeposition. An innovative solution system for dealloying was developed for the fabrication of the bi-continuous NPC, in which the efficiency was improved ten times compared to the conventional acid solution. In addition, the effects of dealloying parameters on the NPC morphology and the process efficiency have also been studied systematically. Based on the above method, both good wettability and capillary performance were achieved by NPC with tunable pore size, which indicates its great application prospects in wicks for high-performance vapor chamber.

Characterization of Hot Deformation Behavior and Processing Map of As‑Cast H13 Hot Work Die Steel

Yahui Han,Changsheng Li,Jinyi Ren,Chunlin Qiu,En LI,Shuaishuai Chen 대한금속·재료학회 2021 METALS AND MATERIALS International Vol.27 No.9

The hot-working behavior of as-cast H13 hot work die steel was investigated in the method of isothermal compression testinvolving the wide deformation temperatures of 900–1150 °C and strain rates of 0.01–10 s−1, with the true strain to 0.8, onthe MMS-200 thermo-mechanical simulator. Two characteristic parameters involving the critical strain for DRX initiation(c ) and the strain for peak stress (p ) were identified. The ratio of critical strain to peak strain ranged from 0.26 to 0.6, whichdecreased with the increase in temperature and decrease in strain rate. Processing maps were established using dynamicmaterial model at strains of 0.2, 0.4, 0.6, 0.8. The power dissipation maps were not significantly affected by the strain, whilethe instability maps were sensitivity with the strain when it was over 0.4. The area of instability domain at strain of 0.8 wasthe largest. The instable characteristics contained the mixed grain structure, adiabatic shear band, intense deformation inserious deformation area and brittle elemental segregation area. The chief effect on the power dissipation was the strain rate,the optimum hot working parameters at strain of 0.8 (910–985 °C, 1010–1150 °C and 0.01–0.05 s−1) were determined. Inthis filed, the original coarse as-cast grains were gradually refined by dynamic recrystallization mechanism and the DRXgrain numbers had a significant increase with the increase of power dissipation efficiency.

Effect of Homogenisation Temperature on the Microstructure and Microhardness of As-Cast H13 Steel

Yahui Han,Changsheng Li,Shuai He,Cairu Gao,Shuaishuai Chen,En Li 대한금속·재료학회 2022 METALS AND MATERIALS International Vol.28 No.3

This study determined that the homogenisation temperature range of experimental as-cast H13 steel was from 1150 to1230 °C, whilst the effect of homogenisation temperature range on the microstructural evolution and microhardness wastested. The enrichment of alloying elements in the dendrite segregation region decreased the solidus temperature of matrix,whose total content determined the maximum homogenisation temperature. The secondary dendrite branches were mostdissolved at 1150 °C, and overheating appeared at 1230 °C in the segregation region. Moreover, the primary carbidesunderwent shrinking, passivation, fragmentation and dissolution. The secondary carbides M23C6and M6Cwere formed atthe interfaces of MC/γ and M7C3/γ, respectively. As the homogenisation temperature increased from 1150 to 1230 °C, thevalue of microhardness gradually decreased from 771 to 740 HV. Nevertheless, the standard deviation value decreased firstand then increased, which reached the minimum 32 HV at 1200 °C, indicating that the hardness homogeneity was the best.