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The extreme nature of fire makes structural fire engineering unique in that the load actions dictating design are intense and neither geographically nor seasonally bound. Simply, fire can break out anywhere, at any time and for any number of reasons. Despite the apparent need, the fire design of structures still relies on expensive fire tests, complex finite element simulations and outdated procedures with little room for innovation. This paper aims to discuss the aforementioned issues.

This primer highlights the latest state of the art in this area with regard to performance-based design in fire structural engineering. In addition, this short review also presents a series of examples of successful implementation of performance-based fire design of structures from around the world.

A comparison between global efforts clearly shows the advances put forth by European and Oceanian efforts as opposed to the rest of the world. In addition, it can be clearly seen that most performance-based fire designs are related to steel and composite structures.

In one study, this paper presents a concise and global view to performance-based fire design of structures from success stories from around the world.

This chapter presents five differentiated models of curriculum, each designed with templates created from learning theories. The discipline of distributed leadership is chosen to develop a cognition-based curriculum, a behavior-based curriculum, a performance-based curriculum, a values-based curriculum, and collectively arranged into a competency-based curriculum. The research literature frames the attributes of a competency-based curriculum on psychological competence.

In this chapter, curricula are developed to demonstrate the process of adapting theories of learning, instruction, and environment into design templates with which to differentiate the dimensions and components of a curriculum. In these curricula, multiple conceptual frameworks are employed to translate the content and structure of the discipline into instructional objectives, instructional engagement, instructional experience, and instructional environment to align the instructional processes with the intended learning. For these demonstrations, the discipline of organizational leadership is chosen due to the multidimensional structure of this discipline and the opportunities it presents to differentiate the curriculum and learning. Each component of the curriculum adapts an appropriate framework to align and interconnect the instructional processes into an optimized learning experience. The result is curricula that have a coherent flow horizontally across the components for each outcome as well as interconnectedness vertically between the outcomes. This approach creates coherence, alignment, and interconnectedness to the curricula and order to the learning process for the learners.

This methodology is applied to design the curriculum for five instructional modules. Module 1 focuses on dualistic thinking developed through a cognition-based curriculum. Module 2 presents a multiplistic learning experience through a behavior-based curriculum. Module 3 presents relativistic learning through a performance-based curriculum. Module 4 delivers complex learning through a values-based curriculum. Module 5 compiles these four modules into a competency-based curriculum model.

Each of these modules employs a unique set of theories to configure the components of the curricula to reflect the structure of each discipline. The use of each theory is explained and demonstrated in the design process.

The purpose of this paper is to explore key challenges of adopting, designing and managing performance-based contracts (PBC) for advanced logistics services, as seen by providers. The shift toward performance-based solutions has proved challenging since providers often struggle to link performance to their payment. Despite such managerial challenges, empirical research in this area has been limited.

A multi-case design was adopted. Three cases of logistics service providers were selected based on purposive sampling. Data were collected through 38 semi-structured interviews and review of 43 documents such as contracts and customer target letters.

Key PBC adoption challenges include customer and provider intention to align their goals and incentives as well as their views on risk and reward sharing. Contract design challenges center around performance metric definition and weighting, designing performance monitoring systems that consider service co-production effects and help improve customer relationship and designing incentives with appropriate intensity levels. Contract management challenges include fostering provider pro-activity, provider changes in terms of processes and resource investments, perceived fairness of designed incentives and contract re-design to allow for win-win relationship outcomes.

The study empirically contributes to extant logistics service provider literature by identifying specific challenges that extend also beyond PBC adoption and design and cover contract management (and potential contract re-design). It also unpacks the notion of performance attributability by analyzing its role also in terms of contract and performance management as well as its potential effects on customer relationship management.

The study presents implications for logistics provider managers regarding how the observed PBC challenges can be overcome.

The study unearths several challenges of PBC for advanced logistics services, particularly in connection to contract management and re-design.

The purpose of this paper is to identify how the design of a performance appraisal system (PAS) affects the perceived justice of academic employees (AE) about their performance appraisal (PA) and how this is associated with organizational effectiveness in terms of organizational leadership (OL).

The study subjects are two economic faculties of two Estonian public universities. The data for the study were collected using the PA Survey with a total of 82 AEs, OL Capability Questionnaire with a total of 72 AEs and the organizations' documents to analyze PAS. Assessment and analysis of the data included: the measurement of PAS design; the measurement of perceived justice from PA; the measurement of organizational leadership capability; analysis of the results gained from studying perceived justice from different PAS designs and organizational effectiveness in terms of OL.

Ultimately, the study reveals that PAS design affects academic employees' perception of distributive justice and organizational external effectiveness in terms of OL but does not affect academic employees' perception of procedural justice and organizational internal effectiveness in terms of OL.

This study suggests that organizational effectiveness depends on perceived justice of employees from the design of PAS. However, the results of this study are valid in the arrangements of academic jobs in universities and in similar or close context of Estonian culture.

This paper demonstrates the role of PAS design in conditions of intellectual job arrangement in universities with its influence on organizational effectiveness in the context of OL.

The paper aims to investigate the comfort-related performances of an innovative solar shading solution based on a new composite patented material that consists of a cement-based matrix coupled with a stretchable three-dimensional textile. The paper’s aim is, through a performance-based generative design approach, to develop a high-performance static shading system able to guarantee adequate daylit spaces, a connection with the outdoors and a glare-free environment in the view of a holistic and occupant-centric daylight assessment.

The paper describes the design and simulation process of a complex static shading system for digital manufacturing purposes. Initially, the optical material properties were characterized to calibrate radiance-based simulations. The developed models were then implemented in a multi-objective genetic optimization algorithm to improve the shading geometries, and their performance was assessed and compared with traditional external louvres and overhangs.

The system developed demonstrates, for a reference office space located in Milan (Italy), the potential of increasing useful daylight illuminance by 35% with a reduced glare of up to 70%–80% while providing better uniformity and connection with the outdoors as a result of a topological optimization of the shape and position of the openings.

The paper presents the innovative nature of a new composite material that, coupled with the proposed performance-based optimization process, enables the fabrication of optimized shading/cladding surfaces with complex geometries whose formability does not require ad hoc formworks, making the process fast and economic.

The bridge expansion joint (BEJ) is a key device for accommodating spatial displacement at the beam end, and for providing vertical support for running trains passing over the gap between the main bridge and the approach bridge. For long-span railway bridges, it must also be coordinated with rail expansion joint (REJ), which is necessary to accommodate the expansion and contraction of, and reducing longitudinal stress in, the rails. The main aim of this study is to present analysis of recent developments in the research and application of BEJs in high-speed railway (HSR) long-span bridges in China, and to propose a performance-based integral design method for BEJs used with REJs, from both theoretical and engineering perspectives.

The study first presents a summary on the application and maintenance of BEJs in HSR long-span bridges in China representing an overview of their state of development. Results of a survey of typical BEJ faults were analyzed, and field testing was conducted on a railway cable-stayed bridge in order to obtain information on the major mechanical characteristics of its BEJ under train load. Based on the above, a performance-based integral design method for BEJs with maximum expansion range 1600 mm (±800 mm), was proposed, covering all stages from overall conceptual design to consideration of detailed structural design issues. The performance of the novel BEJ design thus derived was then verified via theoretical analysis under different scenarios, full-scale model testing, and field testing and commissioning.

Two major types of BEJs, deck-type and through-type, are used in HSR long-span bridges in China. Typical BEJ faults were found to mainly include skewness of steel sleepers at the bridge gap, abnormally large longitudinal frictional resistance, and flexural deformation of the scissor mechanisms. These faults influence BEJ functioning, and thus adversely affect track quality and train running performance at the beam end. Due to their simple and integral structure, deck-type BEJs with expansion range 1200 mm (± 600 mm) or less have been favored as a solution offering improved operational conditions, and have emerged as a standard design. However, when the expansion range exceeds the above-mentioned value, special design work becomes necessary. Therefore, based on engineering practice, a performance-based integral design method for BEJs used with REJs was proposed, taking into account four major categories of performance requirements, i.e., mechanical characteristics, train running quality, durability and insulation performance. Overall BEJ design must mainly consider component strength and the overall stiffness of BEJ; the latter factor in particular has a decisive influence on train running performance at the beam end. Detailed BEJ structural design must stress minimization of the frictional resistance of its sliding surface. The static and dynamic performance of the newly-designed BEJ with expansion range 1600 mm have been confirmed to be satisfactory, via numerical simulation, full-scale model testing, and field testing and commissioning.

This research provides a broad overview of the status of BEJs with large expansion range in HSR long-span bridges in China, along with novel insights into their design.

The purpose of this paper is to investigate how to measure collaborative design performance and, in turn, improve the final design output during a design process, with a clear objective to develop a design performance measurement (DPM) matrix to measure design project team members' design collaboration performances.

The methodology adopted in this research uses critical literature reviews, in‐depth focus group interviews and a questionnaire survey.

The main finding of this study is a DPM matrix that addresses five DPM indicators: efficiency, effectiveness, collaboration, management skill, and innovation, and 25 detailed DPM criteria. It was found that decision‐making efficiency is the most important DPM criterion for collaborative design efficiency; plus delivering to the brief for effectiveness; clear team goal/objectives for collaboration; decision‐making ability for management skill; and competitive advantage for innovation.

As the present study was focused on exploring DPM during a design process, some key DPM criteria which are not measurable during a design development process were not included in this study. The proposed multi‐feedback approach for DPM matrix implementation needs to be validated in future research.

The DPM matrix can be applied to support a design manager in measuring and improving collaborative design performance during a design process, by reviewing and modifying collaborative design development, identifying the design team strengths and weaknesses, improving team communication, and suggesting suitable responsive actions.

The major contribution of this study is the investigation and development of a DPM matrix to measure collaborative design performance during a design process.

The performance of service supply chains in terms of service levels and cost efficiency depends not only on the effort of service providers but also on the inputs of sub-contractors and the customer. In this sense, performance-based contracting (PBC) entails increased financial risk for providers. Allocating and managing risk through contractual relationships along the service supply chain is a critical issue, and yet there is scant empirical evidence regarding what factors influence, and how, provider willingness to bear PBC-induced risk. This paper aims to address this gap.

The paper draws on agency theory and two cases of logistics service supply chains, in the food retail and automotive industries respectively, to identify key influencing factors. Data were collected through semi-structured interviews with 30 managers of providers and sub-contractors and review of 35 documents, notably contracts and target letters.

Four influencing factors were found: performance attributability within the service supply chain; relational governance in service supply chain relationships; provider risk and reward balancing; and provider ability to transfer risk to sub-contractors. The propositions developed address how these factors influence provider willingness to bear PBC-induced risk.

The factors identified are external to the provider mindset and refer to the management of contractual relationships and service delivery interactions along the service supply chain. The paper contributes to agency theory by stressing the risk allocation implications of bi-directional principal-agent relations in service supply chains.

The study suggests ways in which providers can increase their capacity to bear and manage financial risk related to PBC design.

The paper identifies factors that influence provider willingness to bear financial risk induced by PBC in service supply chains.

This paper aims to develop a comprehensive uncertainty quantification method using evidence theory for Park–Ang damage index-based performance design in which epistemic uncertainties are considered. Various sources of uncertainty emanating from the database of the cyclic test results of RC members provided by the Pacific Earthquake Engineering Research Center are taken into account.

In this paper, an uncertainty quantification methodology based on evidence theory is presented for the whole process of performance-based seismic design (PBSD), while considering uncertainty in the Park–Ang damage model. To alleviate the burden of high computational cost in propagating uncertainty, the differential evolution interval optimization strategy is used for efficiently finding the propagated belief structure throughout the whole design process.

The investigation results of this paper demonstrate that the uncertainty rooted in Park–Ang damage model have a significant influence on PBSD design and evaluation. It might be worth noting that the epistemic uncertainty present in the Park–Ang damage model needs to be considered to avoid underestimating the true uncertainty.

This paper presents an evidence theory-based uncertainty quantification framework for the whole process of PBSD.