Customized Optimization for Vehicle Acoustic Statistical Energy Analysis

Statistical Energy Analysis(SEA) is one of the conventional tools for predicting vehicle high-frequency acoustic responses.This study proposes a new method that can provide customized optimization solutions to meet NVH targets based on the specific needs of different project teams during the initial project stages.This approach innovatively integrates dynamic optimization,Radial Basis Function(RBF),and Fuzzy Design Variables Genetic Algorithm(FDVGA) into the optimization process of Statistical Energy Analysis(SEA),and also takes vehicle sheet metal into account in the optimization of sound packages.In the implementation process,a correlation model is established through Python scripts to link material density with acoustic parameters,weight,and cost.By combining Optimus and VaOne software,an optimization design workflow is constructed and the optimization design process is successfully executed.Under various constraints related to acoustic performance,weight and cost,a globally optimal design is achieved.This technology has been effectively applied in the field of Battery Electric Vehicle(BEV).

Wave Energy Estimation by Using A Statistical Analysis and Wave Buoy Data near the Southern Caspian Sea

Statistical analysis was done on simultaneous wave and wind using data recorded by discus-shape wave buoy. The area is located in the southern Caspian Sea near the Anzali Port. Recorded wave data were obtained through directional spectrum wave analysis. Recorded wind direction and wind speed were obtained through the related time series as well. For 12-month measurements（May 25 2007-2008）, statistical calculations were done to specify the value of nonlinear auto-correlation of wave and wind using the probability distribution function of wave characteristics and statistical analysis in various time periods. The paper also presents and analyzes the amount of wave energy for the area mentioned on the basis of available database. Analyses showed a suitable comparison between the amounts of wave energy in different seasons. As a result, the best period for the largest amount of wave energy was known. Results showed that in the research period, the mean wave and wind auto correlation were about three hours. Among the probability distribution functions, i.e Weibull, Normal, Lognormal and Rayleigh, ＂Weibull＂ had the best consistency with experimental distribution function shown in different diagrams for each season. Results also showed that the mean wave energy in the research period was about 49.88 k W/m and the maximum density of wave energy was found in February and March, 2010.

Simulation on a Car Interior Aerodynamic Noise Control Based on Statistical Energy Analysis

How to simulate interior aerodynamic noise accurately is an important question of a car interior noise reduction. The unsteady aerodynamic pressure on body surfaces is proved to be the key effect factor of car interior aerodynamic noise control in high frequency on high speed. In this paper, a detail statistical energy analysis （SEA） model is built. And the vibra-acoustic power inputs are loaded on the model for the valid result of car interior noise analysis. The model is the solid foundation for further optimization on car interior noise control. After the most sensitive subsystems for the power contribution to car interior noise are pointed by SEA comprehensive analysis, the sound pressure level of car interior aerodynamic noise can be reduced by improving their sound and damping characteristics. The further vehicle testing results show that it is available to improve the interior acoustic performance by using detailed SEA model, which comprised by more than 80 subsystems, with the unsteady aerodynamic pressure calculation on body surfaces and the materials improvement of sound/damping properties. It is able to acquire more than 2 dB reduction on the central frequency in the spectrum over 800 Hz. The proposed optimization method can be looked as a reference of car interior aerodynamic noise control by the detail SEA model integrated unsteady computational fluid dynamics （CFD） and sensitivity analysis of acoustic contribution.

Corrected Statistical Energy Analysis Model in a Non-Reverberant Acoustic Space

Statistical Energy Analysis(SEA)is a well-known method to analyze the flow of acoustic and vibration energy in a complex structure.This study investigates the application of the corrected SEA model in a non-reverberant acoustic space where the direct field component from the sound source dominates the total sound field rather than a diffuse field in a reverberant space which the classical SEA model assumption is based on.A corrected SEA model is proposed where the direct field component in the energy is removed and the power injected in the subsystem considers only the remaining power after the loss at first reflection.Measurement was conducted in a box divided into two rooms separated by a partition with an opening where the condition of reverberant and non-reverberant can conveniently be controlled.In the case of a non-reverberant space where acoustic material was installed inside the wall of the experimental box,the signals are corrected by eliminating the direct field component in the measured impulse response.Using the corrected SEA model,comparison of the coupling loss factor(CLF)and damping loss factor(DLF)with the theory shows good agreement.

基于混合FTMM-SEA法的高速列车真空玻璃车窗隔声特性预测与分析

真空玻璃在轻质高隔声方面的性能优势尤为突出,将其用于高速列车车窗是轻量化高速列车车内噪声控制的新型解决方案。将声波在真空玻璃中的传播分解为沿真空层和沿声桥结构的两条独立传播路径,分别使用有限传递矩阵法(FTMM)和统计能量分析法(SEA)计算两条路径的声功率传递系数,建立基于混合FTMM-SEA法的真空玻璃车窗结构隔声量预测模型,并通过实测真空玻璃混响隔声量验证模型的准确性。进一步调查分析声桥结构刚度对耦合板间能量传递、真空玻璃隔声特性的影响。结果表明:减小声桥结构刚度是提高真空玻璃车窗隔声性能的一种有效的方法。与刚性声桥相比,柔性声桥具备更好的能量吸收能力与隔振特性。

Diatoms as indicators of environmental change in coastal areas:a case study in Lianjiang coast of East China Sea

Owing to the significant differences in environmental characteristics and explanatory factors among estuarine and coastal regions,research on diatom transfer functions and database establishment remains incomplete.This study analysed diatoms in surface sediment samples and a sediment core from the Lianjiang coast of the East China Sea,together with environmental variables.Principal component analysis of the environmental variables showed that sea surface salinity(SSS)and sea surface temperature were the most important factors controlling hydrological conditions in the Lianjiang coastal area,whereas canonical correspondence analysis indicated that SSS and pH were the main environmental factors affecting diatom distribution.Based on the modern diatom species–environmental variable database,we developed a diatom-based SSS transfer function to quantitatively reconstruct the variability in SSS between 1984 and 2021 for sediment core HK3 from the Lianjiang coastal area.The agreement between the reconstructed SSS and instrument SSS data from 1984 to 2021 suggests that diatombased SSS reconstruction is reliable for studying past SSS variability in the Lianjiang coastal area.Three low SSS events in AD 2019,2013,and 1999,together with an increased relative concentration of freshwater diatom species and coarser sediment grain sizes,corresponded to two super-typhoon events and a catastrophic flooding event in Lianjiang County.Thus,a diatom-based SSS transfer function for reconstructing past SSS variability in the estuarine and coastal areas of the East China Sea can be further used to reflect the paleoenvironmental events in this region.

Automotive Interior Noise Reduction in High Frequency Using Statistical Energy Analysis

Statistical energy analysis (SEA) is an effective method for predicting high frequency vibro-acoustic performance of automobiles. A full vehicle SEA model is presented for interior noise reduction. It is composed of a number of subsystems based on a 3D model with all parameters for each subsystem. The excitation inputs are measured through road tests in different conditions,including inputs from the engine vibration and the sound pressure of the engine bay. The accuracy in high frequency of SEA model is validated,by comparing the analysis results with the testing pressure level data at driver's right ear. Noise contribution and sensitivity of key subsystems are analyzed. Finally,the effectiveness of noise reduction is verified. Based on the SEA model,an approach combining test and simulation is proposed for the noise vibration and harshness (NVH) design in vehicle development. It contains building the SEA model,testing for subsystem parameter identification,validating the simulation model,identifying subsystem power inputs,analyzing the design sensitivity. An example is given to demonstrate the interior noise reduction in high frequency.

Cross-correlation analysis of crude oil and new energy markets: A new perspective based on carbon emission market

Taking the return series of the EU carbon allowance price, WTI crude oil price, the European renewable energy index and Shenzhen carbon emission price, Daqing crude oil price, the China securities new energy index as sample data, the multifractal detrend cross-correlation analysis method(MF-DCCA)is used to research the dynamic cross-correlation relationships among the carbon emission market, crude oil market and the new energy market in Europe and China and the source of the multifractality. The empirical analysis shows that the cross-correlations among the carbon emission market, crude oil market and new energy market in Europe and China have all significant multifractal characteristics. Moreover, the multifractal strength of cross-correlation between the carbon emission market and crude oil market is less than that between the carbon emission market and new energy market in Europe. The Chinese market is the opposite. In addition, the multifractal strength of cross-correlation between the crude oil market and new energy market in Europe is more than that between the crude oil market and new energy market in China. It is also found that the long-range correlation of the sequences themselves and the fat-tailed distribution in fluctuations are the common causes of the multifractality, and the fat-tailed in fluctuations distribution contributes more to the multifractals of the series.

Vibration Analysis of Vehicle Floor Panel Using Hybrid Method of FEM and SEA

In order to improve the mass efficiency of an automotive soundproof package, it is important to predict the middle to high frequency range of noise and vibration during vehicle operation. A hybrid method of experimental and analytical SEA （statistical energy analysis） has been applied for the prediction of air-borne noise. However, for predicting structure-borne noise, there are no definitive simulation methods that can address the soundproof specifications in an actual vehicle. Thus, in this paper, a FEM （finite element method）＇SEA hybrid method is used. The FEM＇SEA hybrid method predicts structure-borne noise in the middle to high frequency range. First, we explain the basic concept of the FEM＇SEA hybrid method; Second, we describe our experiment to verify the analytical results of the FEM＇SEA hybrid method; Third, we provide the details of the FEM model versus the FEM＇SEA hybrid model; Finally, we verify the validity and availability of the FEM＇SEA hybrid method through comparisons of the FEM analysis results, FEM-SEA analysis results and measured results.

Statistics and Analysis on Papers Published on Journal ‘Advanced Technology of Electrical Engineering and Energy’

The paper presented the statistics and analysis on papers published on the journal 'Advanced Technology of Electrical Engineering and Energy' from 1996 to 2008: the paper acceptance rate,the paper category,the first author's affiliations,the top 7 first authors,the top 10 coauthors and also the journal evaluation indexes of the journal.It offers details of the journal to anyone interested,especially to our editorial board and our broad readers.

Technical Analysis of Security Management in Terms of Crowd Energy and Smart Living

In this paper, a technical and statistical analysis of security system and security management is provided for crowd energy and smart living. At the same time, a clear understanding is made for crowd energy concept and next generation smart living. Various case examples have been studied and a brief summary has been provided.Furthermore, a statistical analysis has been provided in terms of security management in smart living where it is found that young technocrats give the highest importance to security management in smart living. Last but not the least, current limitation, constraints, and future scope of security implementation have been discussed in terms of crowd energy clustered with next generation smart living.

OBSERVATION AND ANALYSIS OF SEA SURFACE WIND OVER THE QIONGZHOU STRAIT

The spatial variation and diurnal fluctuation of sea surface wind over the Qiongzhou Strait were described using verified datasets from automatic weather stations on board a ferry, buoys, and on the coast. Results are as follows： （1） On average, sea surface wind speed is 34 m/s larger over the Qiongzhou Strait than in the coastal area. Sea surface wind speeds of 8.0 rrds or above （on Beaufort scale five） in the coastal area are associated with speeds 5-6 m/s greater over the surface of the Qiongzhou Strait. （2） Gust coefficients for the Qiongzhou Strait decrease along with increasing wind speeds. When coastal wind speed is less than scale five, the average gust coefficient over the sea surface is between 1.4 and 1.5; when wind speed is equal to scale five or above, the average gust coefficient is about 1.35. （3） In autumn and winter, the diurnal differences of average wind speed and wind consistency over the strait are less than those in the coastal area; when wind speed is 10.8 m/s （scale six） or above, the diurnal difference of average wind speed decreases while wind consistency increases for both the strait and the coast.

Neutron Activation Analysis and Scanning Electron Microscopy of Phytoplankton in the Coastal Zone of Crimea (The Black Sea)

The physiology and ecology of planktonic organisms are influenced by the concentration, chemical speciation and resulting bioavailability of some trace metals. The determination of the elemental structure of phytoplankton is important for interpretation of physiological and functional states of coastal ecosystems. The present study is focused on the structure and elemental composition of the phytoplankton assemblages from the different coastal zones by instrumental neutron activation analysis (INAA), scanning electron microscopy (SEM) and energy-dispersive X-ray spectrometry (EDS). For the first time these complementary techniques were simultaneously applied to study the Black Sea phytoplankton. The concentrations of 45 elements in the coastal phytoplankton communities used as bioindicator of inorganic contamination of the Black Sea coastal area near Sevastopol, Ukraine, were determined. Phytoplankton samples were collected by total tows of the plankton net with 35 μm pore size at 3 stations situated in polluted and relatively pristine water areas of the Sevastopol coastal zone during autumn period of the phytoplankton growth. The concentration of Mg, Al, Sc, Ti, V, Mn, As, Rb, Ba, Th and Fe, Cr increases exponentially from relatively pristine station to more polluted station and 10-times and 3-times greater, respectively, in the phytoplankton of the Sevastopol Bay. The rare-earth elements have relatively the same concentration values less than 1 μg/g and tend to accumulate in the phytoplankton from the polluted station in the Sevastopol Bay. The obtained results are in a good agreement with the elemental concentration data in the oceanic plankton, plankton communities from the White Sea and the Black Sea. Using energy-dispersive X-ray spectrometry the mineral particles of unknown origin and impurities of copper (0.42% by weight) in the phytoplankton at the polluted station and zinc (0.57% by weight) at the relatively pristine station were determined.

Proton-Proton Collisions in View of Thermo-Statistical Approach

The data of charged particles produced in proton-proton collisions extracted from Durham particle data group at energy ranges √s = 6.3 - 17 GeV and at 0.9 - 7 TeV are investigated in the framework of Tsallis thermo-statistics and the Vlasov time dynamics. The analysis can describe the experimental data well all-over the considered energies and rapidity intervals. The variation of the collision parameters (chemical potential, entropy index and the time of evolution) is studied and discussed as a function of the final state temperature. According to the obtained result, a scenario, and a script of the time evolution for the particle production is simulated by the pp collision.

气垫船壁板隔声性能分析与测试研究

气垫船对于噪声传递路径控制中的隔声控制,除了常规的隔声性能应满足相应要求外,还应保证其抗爆抗冲击等性能。本文对气垫船舱壁的前端抗冲击壁板进行隔声性能进行计算分析与实验测试。基于统计能量分析方法,采用双声腔-单板模型模拟驻波管设备,计算并结合实验测试验证了单层均质钢板的隔声量。为进一步验证统计能量分析方法预测材料隔声量的正确性,利用驻波管进行构件隔声量的实验研究,实验测量与统计能量分析预测结果在630 Hz以下的中低频段吻合良好,高频段随着吻合效应的出现,误差增大。结果表明,采用的统计能量分析模拟计算方法有效,该类型隔声构件的平均隔声量为44 dB,可有效降低目标舱室的噪声。本文的研究结果对气垫船及相类似舰船的减振降噪提供了新的思路。

电力系统中的雷电暂态感知、监测和应用

雷电是造成电力系统故障的首要原因,实现对雷电暂态电压电流信号的感知、监测和数据应用对于维护系统安全稳定运行具有重要意义。面向日益复杂的新型电力系统结构形态,传感器件在满足雷电宽频测量的基础上,监测装置正朝着微型化、高精度、强互联和易取能方向发展。因此,该文基于雷电暂态感知方法、监测装置关键技术和雷击数据统计应用的研究现状,首先介绍了基于不同原理的电压/电场和电流/磁场传感技术,并分析了各自的优缺点;其次梳理了传感器微型化、时间同步、通信和供能等关键技术的最新进展;随后通过对雷击暂态波形的统计分析,探讨了监测数据在雷击故障识别与定位中的应用;最后对电力系统中雷电暂态感知、监测与应用进行总结并对其发展趋势作出展望。

基于FE-SEA混合方法的声腔内部噪声预测

对二子系统的互易关系进行了阐述,给出了混合FE-SEA的系统方程。通过数值仿真,建立了声腔-平板-声腔系统的FE-SEA混合模型,同时建立了声腔-平板-声腔系统的SEA模型,对声腔模态密度、SEA模型中声腔与板的耦合损耗因子进行了计算,同时计算了FE板与SE板的辐射效率,并对2个模型进行了响应计算,分析了误差产生的原因,并将FE-SEA模型与SEA模型计算结果进行了对比,对比结果表明,二者在中高频段具有较好的一致性。同时还建立了声腔-轿车后风挡玻璃-声腔系统的FE-SEA混合模型,以及该系统的SEA模型,通过试验对内侧声腔激励进行了测量,计算了FE-SEA模型与SEA模型外侧声腔的响应声压级,并与试验结果进行了对比,对比结果表明,在中高频段FE-SEA模型与SEA模型的预测结果相吻合,且FE-SEA模型与试验结果有着较好的一致性。

车内噪声FE-SEA混合建模及分析方法

对二子系统的互易关系进行了阐述,并通过模态方法别对二子系统的互易关系进行了介绍,并介绍了两个面连接子系统的耦合关系,最后给出了混合FE-SEA的系统方程。建立了轿车FE-SEA混合模型,对FE车身的辐射效率进行了计算,通过试验对动力总成悬置激励和车身悬置激励进行了测量,在消声室内对发动机舱声辐射激励进行了测量,建立了CFD风洞仿真模型,并对车外风激励进行了计算,同时通过施加激励后的混合FE-SEA模型对车内噪声进行了预测,并与试验结果进行了对比,并对误差产生的原因进行了分析,对比分析结果表明,二者有着较好的一致性,预测绝对误差小于2.5 dB(A),计算精度满足工程要求,混合FE-SEA建模方法是一种有效的车内中频噪声预测方法。

中频力学环境预示的FE-SEA混合方法研究

针对中频力学环境预示,阐述了FE-SEA混合方法的基础理论,建立了该方法的详细计算流程,并以Matlab为平台开发了FE-SEA混合方法的计算程序。结合算例,通过与能量流的Monte Carlo仿真结果比较,验证了FE-SEA混合方法的准确性。研究表明:FE-SEA混合方法可以达到Monte Carlo仿真的计算精度,且其计算效率远高于后者;该方法在弥补传统有限元和统计能量分析不足的同时,也为中频力学环境预示的实现提供了一种全新的思路。

基于SEA赋权图的舱室噪声传递路径分析

振声能量传递路径是船舶舱室噪声控制的重要依据之一。对中高频振声问题采用统计能量分析(SEA)求解,引入SEA系统传递路径的概念,并结合图论提出了舱室噪声传递的SEA赋权图法。将SEA系统等效为结点和有向边组成的有向图G_(SEA),噪声传递路径问题转变为求解G_(SEA)中的最大权重路径问题,通过偏离算法得到的K主要路径即为能量传递的主路径。以某船机舱传递到住舱中的能量传递路径为例,首先确定不同振声源在目标舱室中产生的噪声分量,选取对目标舱室影响最大子系统为路径分析对象,然后使用SEA赋权图法求解主要传递路径,从而揭示能量在结构和声腔中的传播机理,为船舶降噪优化提供指导。