This paper presents a comprehensive review of various traditional systems of crude oil distillation column design, modeling, simulation, optimization and control methods. Artificial neural network (ANN), fuzzy logic (...This paper presents a comprehensive review of various traditional systems of crude oil distillation column design, modeling, simulation, optimization and control methods. Artificial neural network (ANN), fuzzy logic (FL) and genetic algorithm (GA) framework were chosen as the best methodologies for design, optimization and control of crude oil distillation column. It was discovered that many past researchers used rigorous simulations which led to convergence problems that were time consuming. The use of dynamic mathematical models was also challenging as these models were also time dependent. The proposed methodologies use back-propagation algorithm to replace the convergence problem using error minimal method.展开更多
The variational data assimilation scheme (VAR) is applied to investigating the advective effect and the evolution of the control variables in time splitting semi-Lagrangian framework. Two variational algorithms are us...The variational data assimilation scheme (VAR) is applied to investigating the advective effect and the evolution of the control variables in time splitting semi-Lagrangian framework. Two variational algorithms are used. One is the conjugate code method-direct approach, and another is the numerical backward integration of analytical adjoint equation—indirect approach. Theoretical derivation and sensitivity tests are conducted in order to verify the consistency and inconsistency of the two algorithms under the semi-Lagrangian framework. On the other hand, the sensitivity of the perfect and imperfect initial condition is also tested in both direct and indirect approaches. Our research has shown that the two algorithms are not only identical in theory, but also identical in numerical calculation. Furthermore, the algorithms of the indirect approach are much more feasible and efficient than that of the direct one when both are employed in the semi-Lagrangian framework. Taking advantage of semi-Lagrangian framework, one purpose of this paper is to illustrate when the variational assimilation algorithm is concerned in the computational method of the backward integration, the algorithm is extremely facilitated. Such simplicity in indirect approach should be meaningful for the VAR design in passive model. Indeed, if one can successfully split the diabatic and adiabatic process, the algorithms represented in this paper might be easily used in a more general vision of atmospheric model.展开更多
Prestressed wire winded framework （PWWF） is an advanced structure and the most expensive part in the large-scale equip- ment. The traditional design of PWWF is complicated, highly iterative and cost uncontrolable, b...Prestressed wire winded framework （PWWF） is an advanced structure and the most expensive part in the large-scale equip- ment. The traditional design of PWWF is complicated, highly iterative and cost uncontrolable, because PWWF is a variable stiffness multi-agent structure, with non-linear loading and deformation coordination. In this paper, cost optimization method of large-scale PWWF by multiple-island genetic algorithm （MIGA） is presented. Optimization design flow and optimization model are proposed based on variable-tension wire winding theory. An example of the PWWF cost optimization of isostatic equipment with axial load 6 000 kN is given. The optimization cost is reduced by 21.6% compared with traditional design. It has also been verified by the finite-element analysis and successfully applied to an actual PWWF design of isostatic press. The results show that this method is efficient and reliable. This method can also provide a guide for optimal design for ultra-large dimension muti-frame structure of 546 MN and 907 MN isostatic press equipment.展开更多
为提高内河码头结构健康监测系统中的模态参数识别分辨率,考虑模态独立性和正交性原则进行振动传感器的非均匀布置及优化,并提出基于MAC矩阵的最小均方差算法(Minimum Root Min Square,MRMS)的传感器优化配置流程。针对典型内河框架码...为提高内河码头结构健康监测系统中的模态参数识别分辨率,考虑模态独立性和正交性原则进行振动传感器的非均匀布置及优化,并提出基于MAC矩阵的最小均方差算法(Minimum Root Min Square,MRMS)的传感器优化配置流程。针对典型内河框架码头建立有限元模型,建立模型传感器布置优化和评价的框架流程,以结构面板垂向前十阶振型为主要模态参数,对传感器配置最优数量进行研究,并采用模态置信度矩阵、模态振型条件数以及Fisher信息矩阵行列式评价布点算法的效果及优劣,仿真过程中考虑1%的建模误差和环境噪声的影响。仿真研究结果表明:MRMS算法能够取得良好的模态振型正交性和独立性指标,可为内河框架码头结构健康在线监测系统提供优良的模态识别参数。展开更多
In this paper, a new class of over-relaxed proximal point algorithms for solving nonlinear operator equations with (A,η,m)-monotonicity framework in Hilbert spaces is introduced and studied. Further, by using the gen...In this paper, a new class of over-relaxed proximal point algorithms for solving nonlinear operator equations with (A,η,m)-monotonicity framework in Hilbert spaces is introduced and studied. Further, by using the generalized resolvent operator technique associated with the (A,η,m)-monotone operators, the approximation solvability of the operator equation problems and the convergence of iterative sequences generated by the algorithm are discussed. Our results improve and generalize the corresponding results in the literature.展开更多
分层视频编码(Layered Video Coding)相比单层视频编码(Single-Layer Video Coding),在节约视频服务器存储空间,以及提供更加灵活的码率选择方法等方面具备原生优势。然而,面向分层编码视频的码率决策方法仍处于研究阶段,忽视了可伸缩...分层视频编码(Layered Video Coding)相比单层视频编码(Single-Layer Video Coding),在节约视频服务器存储空间,以及提供更加灵活的码率选择方法等方面具备原生优势。然而,面向分层编码视频的码率决策方法仍处于研究阶段,忽视了可伸缩编码视频支持增量式与渐进式码率提升的特点,制约了可伸缩编码视频优势的发挥。针对上述问题,设计并实现了一种面向分层编码视频的可回溯码率决策框架,以及多步决策算法;并从综合QoE、平均码率、平均码率变化量、总卡顿时间等方面,与现有基于缓冲(Buffer-Based,BB)的和基于速率(Rate-Based,RB)的方法进行对比实验,在综合QoE指标上分别取得了31.4%和15.1%的性能提升,验证了所提出的决策框架及算法的有效性与可靠性。展开更多
文摘This paper presents a comprehensive review of various traditional systems of crude oil distillation column design, modeling, simulation, optimization and control methods. Artificial neural network (ANN), fuzzy logic (FL) and genetic algorithm (GA) framework were chosen as the best methodologies for design, optimization and control of crude oil distillation column. It was discovered that many past researchers used rigorous simulations which led to convergence problems that were time consuming. The use of dynamic mathematical models was also challenging as these models were also time dependent. The proposed methodologies use back-propagation algorithm to replace the convergence problem using error minimal method.
文摘The variational data assimilation scheme (VAR) is applied to investigating the advective effect and the evolution of the control variables in time splitting semi-Lagrangian framework. Two variational algorithms are used. One is the conjugate code method-direct approach, and another is the numerical backward integration of analytical adjoint equation—indirect approach. Theoretical derivation and sensitivity tests are conducted in order to verify the consistency and inconsistency of the two algorithms under the semi-Lagrangian framework. On the other hand, the sensitivity of the perfect and imperfect initial condition is also tested in both direct and indirect approaches. Our research has shown that the two algorithms are not only identical in theory, but also identical in numerical calculation. Furthermore, the algorithms of the indirect approach are much more feasible and efficient than that of the direct one when both are employed in the semi-Lagrangian framework. Taking advantage of semi-Lagrangian framework, one purpose of this paper is to illustrate when the variational assimilation algorithm is concerned in the computational method of the backward integration, the algorithm is extremely facilitated. Such simplicity in indirect approach should be meaningful for the VAR design in passive model. Indeed, if one can successfully split the diabatic and adiabatic process, the algorithms represented in this paper might be easily used in a more general vision of atmospheric model.
文摘Prestressed wire winded framework （PWWF） is an advanced structure and the most expensive part in the large-scale equip- ment. The traditional design of PWWF is complicated, highly iterative and cost uncontrolable, because PWWF is a variable stiffness multi-agent structure, with non-linear loading and deformation coordination. In this paper, cost optimization method of large-scale PWWF by multiple-island genetic algorithm （MIGA） is presented. Optimization design flow and optimization model are proposed based on variable-tension wire winding theory. An example of the PWWF cost optimization of isostatic equipment with axial load 6 000 kN is given. The optimization cost is reduced by 21.6% compared with traditional design. It has also been verified by the finite-element analysis and successfully applied to an actual PWWF design of isostatic press. The results show that this method is efficient and reliable. This method can also provide a guide for optimal design for ultra-large dimension muti-frame structure of 546 MN and 907 MN isostatic press equipment.
文摘为提高内河码头结构健康监测系统中的模态参数识别分辨率,考虑模态独立性和正交性原则进行振动传感器的非均匀布置及优化,并提出基于MAC矩阵的最小均方差算法(Minimum Root Min Square,MRMS)的传感器优化配置流程。针对典型内河框架码头建立有限元模型,建立模型传感器布置优化和评价的框架流程,以结构面板垂向前十阶振型为主要模态参数,对传感器配置最优数量进行研究,并采用模态置信度矩阵、模态振型条件数以及Fisher信息矩阵行列式评价布点算法的效果及优劣,仿真过程中考虑1%的建模误差和环境噪声的影响。仿真研究结果表明:MRMS算法能够取得良好的模态振型正交性和独立性指标,可为内河框架码头结构健康在线监测系统提供优良的模态识别参数。
文摘In this paper, a new class of over-relaxed proximal point algorithms for solving nonlinear operator equations with (A,η,m)-monotonicity framework in Hilbert spaces is introduced and studied. Further, by using the generalized resolvent operator technique associated with the (A,η,m)-monotone operators, the approximation solvability of the operator equation problems and the convergence of iterative sequences generated by the algorithm are discussed. Our results improve and generalize the corresponding results in the literature.
文摘分层视频编码(Layered Video Coding)相比单层视频编码(Single-Layer Video Coding),在节约视频服务器存储空间,以及提供更加灵活的码率选择方法等方面具备原生优势。然而,面向分层编码视频的码率决策方法仍处于研究阶段,忽视了可伸缩编码视频支持增量式与渐进式码率提升的特点,制约了可伸缩编码视频优势的发挥。针对上述问题,设计并实现了一种面向分层编码视频的可回溯码率决策框架,以及多步决策算法;并从综合QoE、平均码率、平均码率变化量、总卡顿时间等方面,与现有基于缓冲(Buffer-Based,BB)的和基于速率(Rate-Based,RB)的方法进行对比实验,在综合QoE指标上分别取得了31.4%和15.1%的性能提升,验证了所提出的决策框架及算法的有效性与可靠性。
