为了有效实现板件的抗振性动力学设计,研究约束阻尼板拓扑动力学优化方法。建立约束阻尼板有限元动力学分析模型,推导出模态损耗因子计算公式;建立了基于模态损耗因子最大化目标,以阻尼层单元相对密度为拓扑变量,以阻尼材料使用量及结...为了有效实现板件的抗振性动力学设计,研究约束阻尼板拓扑动力学优化方法。建立约束阻尼板有限元动力学分析模型,推导出模态损耗因子计算公式;建立了基于模态损耗因子最大化目标,以阻尼层单元相对密度为拓扑变量,以阻尼材料使用量及结构频率作为控制的阻尼板优化数学模型;利用序列凸规划理论而对传统优化准则法进行改进,采用改进准则法GCMOC(global extreme point converged by method of optimization criterion)解算优化模型以求取全域性优化解,推导出面向GCMOC的拓扑变量迭代式;考虑到多阶次RAMP(rational approxination of material properties)函数的形状具有较理想的可控下凹几何特征,提出在优化迭代中采用多阶次RAMP材料插值模型(MO-RAMP)对拓扑变量集合进行惩罚以实现其快速的0,1二值化,并尽量减少处于0.3~0.7的中间拓扑变量值出现;编制了面向约束阻尼板的拓扑动力学优化程序,实现了基于MO-RAMP的约束阻尼板GCMOC法变密度式减振拓扑动力学优化过程。算例分析表明,MO-RAMP与GCMOC复合的算法用于阻尼板拓扑迭代时,可将阻尼单元密度值快速地推向逼近0或1的值。它能得到清晰的阻尼单元优化密度云并有利于优化构型的实现;能在大幅减少阻尼材料用量条件下充分发挥其黏弹耗能效应,能在保证阻尼板动力学特性基本稳定的前提下使结构获得更好的减振效果。展开更多
正交匹配追踪反卷积声源识别算法(orthogonal matching pursuit deconvolution approach for the mapping of acoustic sources, OMP-DAMAS)具有极高的计算效率、空间分辨率和重构精度,被广泛应用声源识别领域。但在实际的工程运用中,...正交匹配追踪反卷积声源识别算法(orthogonal matching pursuit deconvolution approach for the mapping of acoustic sources, OMP-DAMAS)具有极高的计算效率、空间分辨率和重构精度,被广泛应用声源识别领域。但在实际的工程运用中,无法满足提前确定声源数目的条件,可能造成识别结果不准确。因此提出了一种分段取阈值的OMP-DAMAS算法,在声源稀疏度未知的情况下,通过对内积和最小二乘解取阈值将伪声源和旁瓣对应的列序号从原子支撑集中删除,直接精确的识别出真实声源的位置。仿真和试验结果表明了所提算法与传统的延时求和算法相比,可以明显的减小主瓣宽度,提高空间分辨率,同样能达到OMP-DAMAS算法的重构效果,对噪声具有较好的鲁棒性,且具有极高的识别稳定性。展开更多
Objective： With the development of peptide-based cancer specific immunotherapy, the prediction of CTL epitopes from insulin-like growth factor-binding protein 7 （IGFBP7） is very important for some research about tu...Objective： With the development of peptide-based cancer specific immunotherapy, the prediction of CTL epitopes from insulin-like growth factor-binding protein 7 （IGFBP7） is very important for some research about tumor metastasis. Because HLA-A2.1-expressing individuals cover 〉50% in the population of China, we aimed at identifying IGFBPT-encoded peptide presented by HLA-A2.1. Methods： In our study, a HLA-A2.1 restricted CTL epitope was identified by using the following two-step procedure： （a） computer-based epitope prediction from the amino acid sequence of IGFBP7 antigen; （b） Validation with epitope molecular modeling. Results： We obtained four epitopes with high immunogenicity scores by all of the three algorithms, i.e., BIMAS, SYFPEITH1 and IMTECH. Each of the four candidates satisfied the criteria of the HLA-A2.1- restricted CTL epitopes in molecular modeling analysis. Conclusion： The combination of BIMAS, SYFPEITHI and IMTECH method can improve the prediction efficiency and accuracy. Due to this research herein, this four epitopes have potential value for further studied, also have potential application in peptide-mediated immunotherapy. These epitopes may be useful in the design of therapeutic peptide vaccine for lung carcinoma and as immunotherapeutic strategies against lung carcinoma after identified by immunology experiment.展开更多
文摘为了有效实现板件的抗振性动力学设计,研究约束阻尼板拓扑动力学优化方法。建立约束阻尼板有限元动力学分析模型,推导出模态损耗因子计算公式;建立了基于模态损耗因子最大化目标,以阻尼层单元相对密度为拓扑变量,以阻尼材料使用量及结构频率作为控制的阻尼板优化数学模型;利用序列凸规划理论而对传统优化准则法进行改进,采用改进准则法GCMOC(global extreme point converged by method of optimization criterion)解算优化模型以求取全域性优化解,推导出面向GCMOC的拓扑变量迭代式;考虑到多阶次RAMP(rational approxination of material properties)函数的形状具有较理想的可控下凹几何特征,提出在优化迭代中采用多阶次RAMP材料插值模型(MO-RAMP)对拓扑变量集合进行惩罚以实现其快速的0,1二值化,并尽量减少处于0.3~0.7的中间拓扑变量值出现;编制了面向约束阻尼板的拓扑动力学优化程序,实现了基于MO-RAMP的约束阻尼板GCMOC法变密度式减振拓扑动力学优化过程。算例分析表明,MO-RAMP与GCMOC复合的算法用于阻尼板拓扑迭代时,可将阻尼单元密度值快速地推向逼近0或1的值。它能得到清晰的阻尼单元优化密度云并有利于优化构型的实现;能在大幅减少阻尼材料用量条件下充分发挥其黏弹耗能效应,能在保证阻尼板动力学特性基本稳定的前提下使结构获得更好的减振效果。
文摘正交匹配追踪反卷积声源识别算法(orthogonal matching pursuit deconvolution approach for the mapping of acoustic sources, OMP-DAMAS)具有极高的计算效率、空间分辨率和重构精度,被广泛应用声源识别领域。但在实际的工程运用中,无法满足提前确定声源数目的条件,可能造成识别结果不准确。因此提出了一种分段取阈值的OMP-DAMAS算法,在声源稀疏度未知的情况下,通过对内积和最小二乘解取阈值将伪声源和旁瓣对应的列序号从原子支撑集中删除,直接精确的识别出真实声源的位置。仿真和试验结果表明了所提算法与传统的延时求和算法相比,可以明显的减小主瓣宽度,提高空间分辨率,同样能达到OMP-DAMAS算法的重构效果,对噪声具有较好的鲁棒性,且具有极高的识别稳定性。
基金Supported by the Special fund of the National High Technology Research and Development Program of China (863 Program,2007AA02Z129)the National Natural Science Foundation of China (30672076 and 30800506)
文摘Objective： With the development of peptide-based cancer specific immunotherapy, the prediction of CTL epitopes from insulin-like growth factor-binding protein 7 （IGFBP7） is very important for some research about tumor metastasis. Because HLA-A2.1-expressing individuals cover 〉50% in the population of China, we aimed at identifying IGFBPT-encoded peptide presented by HLA-A2.1. Methods： In our study, a HLA-A2.1 restricted CTL epitope was identified by using the following two-step procedure： （a） computer-based epitope prediction from the amino acid sequence of IGFBP7 antigen; （b） Validation with epitope molecular modeling. Results： We obtained four epitopes with high immunogenicity scores by all of the three algorithms, i.e., BIMAS, SYFPEITH1 and IMTECH. Each of the four candidates satisfied the criteria of the HLA-A2.1- restricted CTL epitopes in molecular modeling analysis. Conclusion： The combination of BIMAS, SYFPEITHI and IMTECH method can improve the prediction efficiency and accuracy. Due to this research herein, this four epitopes have potential value for further studied, also have potential application in peptide-mediated immunotherapy. These epitopes may be useful in the design of therapeutic peptide vaccine for lung carcinoma and as immunotherapeutic strategies against lung carcinoma after identified by immunology experiment.
