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.

LDI NN auxiliary modeling and control design for nonlinear systems

Z.Y. Chen,Ruei-Yuan Wang,Rong Jiang,Timothy Chen 국제구조공학회 2022 Smart Structures and Systems, An International Jou Vol.29 No.5

This study investigates an effective approach to stabilize nonlinear systems. To ensure the asymptotic nonlinear stability in nonlinear discrete-time systems, the present study presents controller for an EBA (Evolved Bat Algorithm) NN (fuzzy neural network) in the algorithm. In fuzzy evolved NN modeling, the auxiliary circuit with high frequency LDI (linear differential inclusions) and NN model representation is developed for the nonlinear arbitrary dynamics. An example is utilized to demonstrate the system more robust compared with traditional control systems.

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.

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.

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.

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.

Sampling Strategies for Computer Experiments

Timothy W. Simpson,Dennis K. J. Lin,Wei Chen 한국신뢰성학회 2001 International Journal of Reliability and Applicati Vol.2 No.3

Seed development and hydroxy fatty acid biosynthesis in <i>Physaria lindheimeri</i>

Chen, Grace Q.,Riiff, Timothy J.,Johnson, Kumiko,Morales, Eva,Kim, Hyun Uk,Lee, Kyeong-Ryeol,Lin, Jiann-Tsyh ELSEVIER 2017 INDUSTRIAL CROPS AND PRODUCTS Vol. No.

<P><B>Abstract</B></P> <P>Hydroxy fatty acids (HFAs) are valuable industrial raw materials used in many industries. <I>Physaria lindheimeri</I> accumulates over 80% HFA, in the form of lesquerolic acid (20:1OH), in its seed oil. Understanding the seed development of <I>Physaria lindheimeri</I> is an important step to utilizing this unique wild species as a genetic source of HFAs biosynthesis. The changes of seed growth, lipid accumulation and fatty acid composition during seed development of <I>P. lindheimeri</I> were examined from 14days after pollination (DAP) to desiccation (56 DAP). The seed development could be divided into three periods. During the early period (14 and 21 DAP), seed rapidly increased in size and fresh weight. In mid-maturation period (28, 35, and 42 DAP), lipids and dry weights accumulated steadily. When seeds developed to late-maturation/desiccation stages (49 and 56 DAP), fresh weight dropped significantly due to water loss, and the dry weight and lipid accumulation reached their maximums. Seed color remained green up to 42 DAP and turned to orange-brown at 49 and 56 DAP. The major fatty acid 20:1OH started accumulation when seeds developed into mid-maturation stage (28 DAP) and the accumulation continued thereafter up to 56 DAP, eventually reaching up to 77% of the total seed oil. The HFA accumulation indicates embryonic storage tissue formation, thus 28 DAP defines a critical time point for seed development entering reserve synthesis and accumulation. The information and knowledge obtained from this study are essential to the success of HFA production using metabolic pathway engineering approaches in commodity oilseed crops.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Three distinct seed developmental periods of <I>Physaria lindheimeri</I> have been established. </LI> <LI> A starting time point of embryo development of <I>P. lindheimeri</I> has been identified. </LI> <LI> This research provides a framework for future seed developmental studies in <I>P. lindheimeri</I>. </LI> </UL> </P>

Applying a Forced Censoring Technique with Accelerated Modeling for Improving Estimation of Extremely Small Percentiles of Strengths

Chen Weiwei,Leon Ramon V.,Young Timothy M.,Guess Frank M. The Korean Reliability Society 2006 International Journal of Reliability and Applicati Vol.7 No.1

Many real world cases in material failure analysis do not follow perfectly the normal distribution. Forcing of the normality assumption may lead to inaccurate predictions and poor product quality. We examine the failure process of the internal bond (IB or tensile strength) of medium density fiberboard (MDF). We propose a forced censoring technique that closer fits the lower tails of strength distributions and better estimates extremely smaller percentiles, which may be valuable to continuous quality improvement initiatives. Further analyses are performed to build an accelerated common-shaped Weibull model for different product types using the $JMP^{(R)}$ Survival and Reliability platform. In this paper, a forced censoring technique is implemented for the first time as a software module, using $JMP^{(R)}$ Scripting Language (JSL) to expedite data processing, which is crucial for real-time manufacturing settings. Also, we use JSL to automate the task of fitting an accelerated Weibull model and testing model homogeneity in the shape parameter. Finally, a package script is written to readily provide field engineers customized reporting for model visualization, parameter estimation, and percentile forecasting. Our approach may be more accurate for product conformance evaluation, plus help reduce the cost of destructive testing and data management due to reduced frequency of testing. It may also be valuable for preventing field failure and improved product safety even when destructive testing is not reduced by yielding higher precision intervals at the same confidence level.

Thermodynamic Properties of Barium-Antimony Alloys Determined by Emf Measurements

Lichtenstein, Timothy,Gesualdi, Jarrod,Nigl, Thomas P.,Yu, Chen Ta,Kim, Hojong Elsevier 2017 ELECTROCHIMICA ACTA Vol.251 No.-

<P><B>Abstract</B></P> <P>The thermodynamic properties of Ba-Sb alloys, including the activity, partial molar entropy, and partial molar enthalpy, were determined using the electromotive force (emf) technique for thirteen compositions spanning the composition range of <I>x</I> <SUB>Ba</SUB> =0.03–0.77. Emf measurements were performed at ambient pressure under an inert argon atmosphere using a Ba-Bi(<I>x</I> <SUB>Ba</SUB> =0.05)|CaF<SUB>2</SUB>-BaF<SUB>2</SUB>|Ba(in Sb) electrochemical cell at 723–1073K. At 923K, activity values of Ba in Sb were as low as 2.0×10<SUP>−15</SUP> at mole fraction <I>x</I> <SUB>Ba</SUB> =0.05 and approached unity for mole fractions <I>x</I> <SUB>Ba</SUB> ≥0.77. Phase characterization using X-ray diffraction (XRD) was performed on compositions of <I>x</I> <SUB>Ba</SUB> =0.03–0.77 and thermal characterization was performed on compositions up to <I>x</I> <SUB>Ba</SUB> =0.40 using differential scanning calorimetry (DSC). Integrating the results from emf, XRD, and DSC measurements, an experimentally determined Ba-Sb phase diagram was constructed.</P>