• 제목/요약/키워드: Multiple Measurement Locations

검색결과 39건 처리시간 0.024초

Structural damage identification using gravitational search algorithm

  • Liu, J.K.;Wei, Z.T.;Lu, Z.R.;Ou, Y.J.
    • Structural Engineering and Mechanics
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    • 제60권4호
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    • pp.729-747
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    • 2016
  • This study aims to present a novel optimization algorithm known as gravitational search algorithm (GSA) for structural damage detection. An objective function for damage detection is established based on structural vibration data in frequency domain, i.e., natural frequencies and mode shapes. The feasibility and efficiency of the GSA are testified on three different structures, i.e., a beam, a truss and a plate. Results show that the proposed strategy is efficient for determining the locations and the extents of structural damages using the first several modal data of the structure. Multiple damages cases in different types of structures are studied and good identification results can be obtained. The effect of measurement noise on the identification results is investigated.

고속도로 교통소음 예측 (Prediction of Highway Traffic Noise)

  • 조대승;김진형;최태묵;오정한;장태순
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2001년도 추계학술대회논문집 II
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    • pp.1280-1286
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    • 2001
  • This paper presents some advanced and supplemental methods to enhance the accuracy in case of calculating geometric divergence attenuation, attenuation by multiple screening structures, ground attenuation at unflat surfaces of sound during propagation outdoors by the methods specified in ISO 9613-2. Moreover, a calculation method for considering short-term wind effect, specified in ASJ Model-1998, is also introduced. To verify the accuracy of adopted methods, we have carried out highway traffic noise prediction and measurement at the twelve locations appearing representative road shapes and structures, such as flat, retained cut, elevated, barrier-constructed roads. From the results, we have confirmed the predicted results show good correspondence with the measured at direct, diffracted and reflected sound fields within 30m from the center of near side lane.

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Water quality big data analysis of the river basin with artificial intelligence ADV monitoring

  • Chen, ZY;Meng, Yahui;Wang, Ruei-yuan;Chen, Timothy
    • Membrane and Water Treatment
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    • 제13권5호
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    • pp.219-225
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    • 2022
  • 5th Assessment Report of the Intergovernmental Panel on Climate Change Weather (AR5) predicts that recent severe hydrological events will affect the quality of water and increase water pollution. To analyze changes in water quality due to future climate change, input data (precipitation, average temperature, relative humidity, average wind speed, and solar radiation) were compiled into a representative concentration curve (RC), defined using 8.5. AR5 and future use are calculated based on land use. Semi-distributed emission model Calculate emissions for each target period. Meteorological factors affecting water quality (precipitation, temperature, and flow) were input into a multiple linear regression (MLR) model and an artificial neural network (ANN) to analyze the data. Extensive experimental studies of flow properties have been carried out. In addition, an Acoustic Doppler Velocity (ADV) device was used to monitor the flow of a large open channel connection in a wastewater treatment plant in Ho Chi Minh City. Observations were made along different streams at different locations and at different depths. Analysis of measurement data shows average speed profile, aspect ratio, vertical position Measure, and ratio the vertical to bottom distance for maximum speed and water depth. This result indicates that the transport effect of the compound was considered when preparing the hazard analysis.

Bolt looseness detection and localization using time reversal signal and neural network techniques

  • Duan, Yuanfeng;Sui, Xiaodong;Tang, Zhifeng;Yun, Chungbang
    • Smart Structures and Systems
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    • 제30권4호
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    • pp.397-410
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    • 2022
  • It is essential to monitor the working conditions of bolt-connected joints, which are widely used in various kinds of steel structures. The looseness of bolts may directly affect the stability and safety of the entire structure. In this study, a guided wave-based method for bolt looseness detection and localization is presented for a joint structure with multiple bolts. SH waves generated and received by a small number (two pairs) of magnetostrictive transducers were used. The bolt looseness index was proposed based on the changes in the reconstructed responses excited by the time reversal signals of the measured unit impulse responses. The damage locations and local damage severities were estimated using the damage indices from several wave propagation paths. The back propagation neural network (BPNN) technique was employed to identify the local damages. Numerical and experimental studies were conducted on a lap joint with eight bolts. The results show that the total damage severity can be successfully detected under the effect of external force and measurement noise. The local damage severity can be estimated reasonably for the experimental data using the BPNN constructed by the training patterns generated from the finite element simulations.

통합형 구조의 감시정찰 영상장비에서 자북의 위치 정확도 개선에 관한 연구 (A Study on Improving the Position Accuracy of the Magnetic North used in Surveillance Imaging Equipments)

  • 신영돈;이재천
    • 전자공학회논문지
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    • 제50권4호
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    • pp.219-228
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    • 2013
  • 감시정찰용 영상장비는 표적의 형상을 실시간으로 관측하거나, 표적의 위치를 정밀하게 측정하여 신뢰성 있는 위치정보를 제공하는 장비로서 정보 지식 기반의 현대 무기체계에서 필수적인 장비로 발전하고 있다. 운용 방식도 고정형, 차량형, 복합형 등으로 운용되고 있고, 또한 운용 개념에 따라 다양한 센서들이 여러 형태의 기구 구조로 제작되어 장/탈착이 용이한 분리형 일체형 기구 구조로 형상화된 통합형 형태로 제작되고 있다. 통합형 구조에 사용되는 다양한 센서들의 핵심부품 들은 자성을 띠고 있기 때문에 위치 측정에 사용되는 디지털 나침반에 영향을 준다. 따라서 정확한 기준점 산출에 부정적인 영향을 미칠 수 있다. 이러한 물리적 자성의 영향을 줄이기 위해 차폐제 사용이 제안되었지만, 선호도가 높은 통합형 구조에서는 장비의 무게, 휴대성 때문에 차폐제의 활용이 제약을 받는다. 본 논문에서는 통합형 구조에서 디지털 나침반을 사용할 경우의 정확한 위치측정 알고리즘에 관하여 연구하였다. 구체적으로, 부품의 장착 위치에 따른 선행 모델링을 통해 차폐제를 사용하지 않은 경우의 사례에 대해 연구하였다. 또한 시스템이 PAN & Tilt와 같이 이용된다는 점에도 착안하여, 수동으로 수행하는 기존의 정치 방식을 자동으로 수행할 수 있는 알고리즘을 제안하였다. 결과적으로 기존의 방위각 중심의 6지점 정치를 방위각과 고각에 따라 12지점을 측정함으로써 측정 범위는 넓히고, 측정시간은 줄이고, 운용자가 측정 중 발생 할 수 있는 영향성을 최소화 할 수 있는 기법임을 확인하였다.

서로 다른 주파수를 갖는 두 개의 회전음원의 위치추적에 대한 연구 (A Trajectory Identification Technique for Two Rotating Sound Sources with Different Frequencies)

  • 이종현;이재형;이욱;최종수
    • 한국소음진동공학회논문집
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    • 제19권7호
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    • pp.710-718
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    • 2009
  • The time difference of arrival(TDOA) algorithm is being used widely for identifying the location of a source emanating either electrical or acoustic signal. It's application areas will not be limited to identifying the source at a fixed location, for example the origin of an earthquake, but will also include the trajectory monitoring for a moving source equipped with a GPS sensor. Most of the TDOA algorithm uses time correlation technique to find the time delay between received signals, and therefore difficult to be used for identifying the location of multiple sources. In this paper a TDOA algorithm based on cross-spectrum is developed to find the trajectory of two sound sources with different frequencies. Although its application is limited to for the sources on a disk plane, it can be applied for identifying the locations of more than two sources simultaneously.

Comprehensive Aeromechanics Predictions on Air and Structural Loads of HART I Rotor

  • Na, Deokhwan;You, Younghyun;Jung, Sung N.
    • International Journal of Aeronautical and Space Sciences
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    • 제18권1호
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    • pp.165-173
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    • 2017
  • The aeromechanics predictions of HART I rotor obtained using a computational structural dynamics (CSD) code are evaluated against the wind tunnel test data. The flight regimes include low speed descending flight at an advance ratio of ${\mu}=0.151$ and cruise condition at ${\mu}=0.229$. A lifting-line based unsteady airfoil theory with C81 table look-up is used to calculate the aerodynamic loads acting on the blade. Either rolled-up free wake or multiple-trailer wake with consolidation (MTC) model is employed for the free vortex wake representation. The measured blade properties accomplished recently are used to analyze the rotor for the up-to-date computations. The comparison results on airloads and structural loads of the rotor show good agreements for descent flight and fair for cruise flight condition. It is observed that MTC model generally improves the correlation against the measured data. The structural loads predictions for all measurement locations of HART I rotor are investigated. The dominant harmonic response of the structural loads is clearly captured with MTC model.

회전하는 소음원의 위치추적에 대한 TDOA기법의 적용 (Applications of Rotating Noise Source Positioning Using TDOA Algorithm)

  • 이종현;이재형;이욱;최종수
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2009년도 춘계학술대회 논문집
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    • pp.483-489
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    • 2009
  • The Time Difference of Arrival (TDOA) algorithm is being used widely for identifying the location of a source emanating either electrical or acoustic signal. It's application areas will not be limited to identifying the source at a fixed location, for example the origin of an earthquake, but will also include the trajectory monitoring for a moving source equipped with a GPS sensor. Most of the TDOA algorithm uses time correlation technique to find the time delay between received signals, and therefore difficult to be used for identifying the location of multiple sources. In this paper a TDOA algorithm based on cross-spectrum is developed to find the trajectory of two sound sources with different frequencies. Although its application is limited to for the sources on a disk plane, but it can be applied for identifying the locations of more than two sources simultaneously.

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공정능력지수에 대한 비교와 적용 (Comparison and Application of Process Capability indices)

  • 정영배;김연수
    • 산업경영시스템학회지
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    • 제30권4호
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    • pp.182-189
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    • 2007
  • Process Capability indices(PCIs) have been widely used in manufacturing industries to provide a quantitative measure of process performance. PCIs have been developed to represent process capability more exactly. The traditional process capability indices Cp, Cpk, Cpm, $Cpm^+$ have been used to characterize process performance on the basis of univariate quality characteristics. Cp, Cpk consider the process variation, Cpm considers both the process variation and the process deviation from target and $Cpm^+$ considers economic loss for the process deviation from target In the previous studies, only one designated location on each part is measured. System process capability index even though in single process, multiple measurement locations on each part are required to calculate the reliable process capability. In manufacturing industry, there is growing interest in quantitative measures of process variation under multivariate quality characteristics. The multivariate process capability index incorporates both the process variation and the process deviation from target or considers expected loss caused by the process deviation from target. In this paper, we compare various process capability indices and propose the application method of PCIs.

Damage detection using both energy and displacement damage index on the ASCE benchmark problem

  • Khosraviani, Mohammad Javad;Bahar, Omid;Ghasemi, Seyed Hooman
    • Structural Engineering and Mechanics
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    • 제77권2호
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    • pp.151-165
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    • 2021
  • This paper aims to present a novelty damage detection method to identify damage locations by the simultaneous use of both the energy and displacement damage indices. Using this novelty method, the damaged location and even the damaged floor are accurately detected. As a first method, a combination of the instantaneous frequency energy index (EDI) and the structural acceleration responses are used. To evaluate the first method and also present a rapid assessment method, the Displacement Damage Index (DDI), which consists of the error reliability (β) and Normal Probability Density Function (NPDF) indices, are introduced. The innovation of this method is the simultaneous use of displacement-acceleration responses during one process, which is more effective in the rapid evaluation of damage patterns with velocity vectors. In order to evaluate the effectiveness of the proposed method, various damage scenarios of the ASCE benchmark problem, and the effects of measurement noise were studied numerically. Extensive analyses show that the rapid proposed method is capable of accurately detecting the location of sparse damages through the building. Finally, the proposed method was validated by experimental studies of a six-story steel building structure with single and multiple damage cases.