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The purpose of the study is to obtain and analyze vibro-acoustic characteristics.

A unified analysis model for the rotary composite laminated plate and conical–cylindrical double cavities coupled system is established. The related parameters of the unified model are determined by isoparametric transformation. The modified Fourier series are applied to construct the admissible displacement function and the sound pressure tolerance function of the coupled systems. The energy functional of the structure domain and acoustic field domain is established, respectively, and the structure–acoustic coupling potential energy is introduced to obtain the energy functional. Rayleigh–Ritz method was used to solve the energy functional.

The displacement and sound pressure response of the coupled systems are acquired by introducing the internal point sound source excitation, and the influence of relevant parameters of the coupled systems is researched. Through research, it is found that the impedance wall can reduce the amplitude of the sound pressure response and suppress the resonance of the coupled systems. Besides, the composite laminated plate has a good noise reduction effect.

This study can provide the theoretical guidance for vibration and noise reduction.

The purpose of this paper is to extend statistical energy analysis (SEA)‐like modeling to fluid‐structure coupled systems.

An equivalent approach of aerodynamic loads is applied to a SEA‐like modeling of a panel‐cavity coupled system with rain‐on‐the‐roof excitation. Two aerodynamic excitations are presented: turbulent boundary layer (TBL) and diffuse field excitation. The energetic description of the coupled system is studied with both aerodynamic excitations, taking in account the coincidence effects. In order to extent the approach to more general systems, some parameters of the coupled system are also modified and the accuracy of the coupled system modeling is investigated.

The boundary conditions of the panel and the coupling strength between the panel and the cavity have been modified. As it was expected, the accuracy of equivalent approach is shown to be independent of such modifications. The interest of such calculation is thus highlighted: modelings of systems and aerodynamic excitations are independent, and can be treated separately.

This result is interesting in the space industry, for launch vehicles are excited by different types of random excitations. Those excitations can be modeled by SEA‐like with low calculation time and memory and applied to a unique system modeling.

Addresses problems in mechanics and physics involving two or more coupled variables of different nature, or a number of distinct domains which interact. For these kinds of problems, considers numerical solution by the coupling of operators appertaining to the individual participating phenomena, or defined in the domains. Reviews the co‐operation of distinct discretized operators in connection with the integration of temporal evolution processes, and the iterative treatment of stationary equations of state. The specification of subtasks complies with the demand for an independent treatment on different processing units arising in parallel computation. Physical subtasks refer to problems of different field variables interacting on the continuum level; their number is usually small. Fine granularity may be achieved by separating the problem region into subdomains which communicate via the boundaries. In multiphysics simulations operators are preferably combined such that subdomains are processed in parallel on different units, while physical phenomena are processed sequentially in the subdomain.

Physical phenomena interact with each other in ways that one cannot be analyzed without considering the other. To account for such interactions between multiple phenomena, partitioning has become a widely implemented computational approach. Partitioned analysis involves the exchange of inputs and outputs from constituent models (partitions) via iterative coupling operations, through which the individually developed constituent models are allowed to affect each other’s inputs and outputs. Partitioning, whether multi-scale or multi-physics in nature, is a powerful technique that can yield coupled models that can predict the behavior of a system more complex than the individual constituents themselves. The paper aims to discuss these issues.

Although partitioned analysis has been a key mechanism in developing more realistic predictive models over the last decade, its iterative coupling operations may lead to the propagation and accumulation of uncertainties and errors that, if unaccounted for, can severely degrade the coupled model predictions. This problem can be alleviated by reducing uncertainties and errors in individual constituent models through further code development. However, finite resources may limit code development efforts to just a portion of possible constituents, making it necessary to prioritize constituent model development for efficient use of resources. Thus, the authors propose here an approach along with its associated metric to rank constituents by tracing uncertainties and errors in coupled model predictions back to uncertainties and errors in constituent model predictions.

The proposed approach evaluates the deficiency (relative degree of imprecision and inaccuracy), importance (relative sensitivity) and cost of further code development for each constituent model, and combines these three factors in a quantitative prioritization metric. The benefits of the proposed metric are demonstrated on a structural portal frame using an optimization-based uncertainty inference and coupling approach.

This study proposes an approach and its corresponding metric to prioritize the improvement of constituents by quantifying the uncertainties, bias contributions, sensitivity analysis, and cost of the constituent models.

This article examines the loosely coupled nature of the US educational system and explores recent systemic reform initiatives designed to improve education through more tightly coupled education policy and practice. The utility and limitations of loose coupling as an organizational construct are examined and critiqued. A number of significant forces are exerting ever‐greater pressure on policymakers to more tightly couple US education, including environmental pressures, the emergence of powerful new institutional actors, an emergent institutional capacity, and institutional isomorphism. After reviewing the effectiveness of systemic reform initiatives in several states, the article concludes that education in the USA is moving toward a system of fragmented centralization in which policymakers have greater opportunity to craft more coherent, systemic education policy amidst competing demands for limited resources.

This paper aims to give a perspective about the variety of techniques which are available and are being further developed in the area of coupled field formulations, with selective bibliography and practical examples, to help postgraduate students, researchers and designers working in design or analysis of electrical machinery.

This paper reviews the recent trends in coupled field formulations. The use of these formulations for designing and non‐destructive testing of electrical machinery is described, followed by their classifications, solutions and applications. Their advantages and shortcomings are discussed.

The paper gives an overview of research, development and applications of coupled field formulations for electrical machinery based on more than 160 references. All landmark papers are classified. Practical engineering case studies are given which illustrate wide applicability of coupled field formulations.

Problems which continue to pose challenges to researchers are enumerated and the advantages of using the coupled‐field formulation are pointed out.

This paper gives a detailed description of the application of the coupled field formulation method to the analysis of problems that are present in different electrical machines. Examples of analysis of generators and transformers with this formulation are presented. The application examples give guidelines for its use in other analyses.

The coupled‐field formulation is used in the analysis of rotational machines and transformers where reference data are available and comparisons with other methods are performed and the advantages are justified. This paper serves as a guide for the ongoing research on coupled problems in electrical machinery.

While Singapore's outstanding educational achievements are well known worldwide, there is a disproportionate paucity of literature on school leadership practices that contribute to and support pedagogical initiatives that – along with socio‐cultural factors – are normally considered responsible for its educational success. The aim of this paper is to explicate system‐wide school leadership factors that contribute to Singapore's educational success.

The paper includes critical discussion, review of literature and conceptualization.

It is argued that three unique features of Singapore school leadership, namely – logistics of a small tightly‐coupled school system, human resource policies that reinforce alignment, and a distinctive “leader‐teacher compact” reflecting the predominant Chinese culture – account for the extraordinary level of tight coupling and alignment of leadership across the school system. In turn, these unique features bring synergies of sustainability, scalability, succession, and high performance across the entire Singapore school system.

Unique features of Singapore school leadership must be examined in conjunction with pedagogical initiatives and socio‐cultural factors for a more complete and nuanced understanding of educational success in Singapore.

Tightly coupled mechanisms of leadership underlie the success of Singapore education. Government needs to consider whether such tightly‐ coupled leadership will continue to serve it well in future, given the demand for twenty‐first century knowledge based skills.

The influence of socio‐cultural factors (e.g. leader‐teacher compact) on educational success merits inclusion in any explanation.

This paper addresses an important gap in the literature by promulgating crucial features of school leadership that contribute to Singapore's educational success.

In this paper, I argue that ideas about loose coupling can serve a useful purpose in organization theory, but only if they are re‐worked substantially. This re‐working, I argue, will involve merging ideas about loose coupling with ideas found in other lines of work developed contemporaneously, including research on the “new” managerialism, institutional theory, and organizational ecology. Such a re‐working, I hope, will entail closer attention to the elements in educational systems that can be coupled and to an expanded list of coupling mechanisms. Using this expanded list of coupling mechanisms, and thinking more clearly about how educational organizations are embedded in dense and complex webs of couplings calls for a movement away from an exclusive concern with loose and tight couplings among dyadic elements in organizational systems, and toward a concern with “tangled” couplings.

This paper aims to propose a novel statistic energy analysis method with fuzzy parameters to study the dynamic and acoustic responses of coupled system with fuzzy parameters, which can expand the applied range of statistic energy analysis method in engineering to some extent.

On the basis of the property of membership level, the uncertain fuzzy parameters are expressed as the interval forms. Interval mathematics and interval expansion principle are adopted to solve the problem with interval parameters. At last, two numerical examples, which include a two-plate coupled system and a single-partition sound-insulation system, are carried out to demonstrate the feasibility and validity of the presented method.

Interval mathematics and interval expansion principle are adopted to solve the problem with interval parameters.

By integrating the interval analysis, optimization technique and Taylor expansion method, two non-probabilistic, set-theoretical statistical energy analyses are proposed for predicting the dynamical and acoustical response of the complex coupled system with uncertain parameters in high-frequency domain.

The purpose of this paper is to examine the recursive perspective that emphasizes bureaucracy as a source of officers’ stress, explain officers’ stress as a loosely coupled effect, examine the positive effects of loose coupling and legitimize the necessity of improving context management as a stress-reduction factor.

The research methodology uses a quantitative perspective; the members of two police forces constituted the universe; the sampling technique was not random and accidental; and an exploratory factor analysis and an invariance measure were performed.

The stress phenomenon is common and similar in both police forces, which means that it is indifferent to their organizational differences and has common causes. Loose coupling is present in both police work settings and entails significant stress; and the search for an explanation of the stress caused by loosely coupled elements should focus on both the value chain and the processes.

Addressing this phenomenon should entail a twofold improvement strategy: the correction of loosely coupled organizational factors by revising the management processes that cause stress and the prevention of loosely coupled effects by using professional training to enhance adaptive behavior within specific contexts.

Police organizations are addressed as loosely coupled (anarchic organized) systems instead of tightly coupled (bureaucratic) systems. The loosely coupled factors that emerge inside bureaucratic organizations cause significant stress among officers and complementary research is necessary to analyze the fallacious nature of the recursive attribution of police stress to bureaucratic characteristics.