Search results

The extent of defects within the construction sector is considerable. This not only has implications for final built products, but also impacts on remedial and repair work, time delays and additional cost. This research work aims to evaluate the success of applying knowledge engineering (KE) techniques to the domain of defect prediction focusing specifically on brickwork mortar. A structured approach is developed which relates to the prediction of defects on housing developments. Knowledge engineering techniques are assessed to facilitate the provision of domain knowledge readily accessible by design engineers and architects. The KE techniques are used as an alternative to the current methods, techniques and technologies used within the construction industry. This is achieved by assessment of the predictive approach to facilitate decreases in ‘quality losses’, i.e. decreases in pre‐mature failure and hence improved quality performance. Attention is also given to the consideration of complex defects to promote increased efficiency in communication and co‐ordination of information for design and building processes, thereby helping to reduce the cost of maintenance and repair work.

Describes intuitively the fact that four types of formal languages can be generated by four types of grammars or can be recognized by four types of automata. Gives the relationships between context‐sensitive languages and computer programming languages. Defines and investigates parallel productions, parallel grammars, and context‐free parallel grammars. Shows that context‐sensitive languages exist which can be generated by context‐free parallel grammars. In addition, states the advantages of context‐free parallel grammars. Also shows that context‐free languages (CFL) are a proper subset of context‐free parallel languages (CFPL). Furthermore, CFPL is a more effective tool for modelling computer programming languages than CFL, especially for parallel computer programming languages, for example, the ADA programming language. Also illustrates context‐sensitive property of recognizing hand‐written characters. The results may have useful applications in artificial intelligence, model parallel computer programming languages, software engineering, expert systems and robotics.

Line‐oriented two‐dimensional grammars (LOTDGs), region‐oriented two‐dimensional grammars (ROTDGs) and parallel productions are introduced. The relationships between LOTDGs and ROTDGs are stated. Examples of LOTDGS for generating all possible 45° right‐angled triangles, all possible squares, all possible 45° isosceles trapezoids, and all possible 45° parallelograms using parallel productions are presented. A new concise representation of a derivation chain is also introduced and illustrated by examples. LOTDGs and ROTDGs are compared. Generally speaking, LOTDGs require less terminal variables and non‐terminal variables, require less storage space, and require less derivation steps. Seven challenging problems for future research are also included. In addition, parallel production is an effective tool to model parallel computers as well as parallel processing. The results have useful applications in robot vision interpretation, robot pictorial communication, artificial intelligence, visual languages, software engineering, medical expert systems, and fuzzy logic functions.

Pain is demonstrated as a complex, multi-dimensional phenomenon that is interdependent and connected between people. The author proposes that social scientists use a “total model” of pain to better understand pain epistemologically and ontologically and people’s “pain lives.” Through this model, and drawing from the author’s own research on mixed martial artists, new ways to conceptualize, study, and talk about pain within the sporting context have been outlined.

In the first part of this chapter, pain is discussed with respect to how it has been researched and understood within the fields of medicine, sport psychology, and the sociology of sport. In the second part of this chapter, the total pain model developed by Dame Cicely Saunders is explored as a revolutionary development for the ways in which pain is understood and treated within the health field. Lastly, the author proposes a reconstructed methodology for the study of pain.

Pain should be studied not from one tradition, but using an amalgamation of the medical, sport psychology, and sociology of sport traditions and perspectives. In this way, the many dimensions of the phenomenon, social, cultural, political, material/physical, spiritual, existential, emotional, and cognitive must be explored from all systems and languages of pain in order to achieve a more robust understanding of pain in sport.

The dualistic relationship between theory and method currently present in most qualitative research does not fully account for the complexity of bodies in pain. Therefore, it is critical to adopt an interwoven methodological and theoretical approach that enables scholars to relate to, and feel with, people in pain.

Grave (English title: Raw), the 2016 feature film debut from French writer/director Julia Ducournau, is a body horror that explores cannibalism in a contemporary setting. A vegetarian student, Justine, develops cannibalistic desires after she is forced to eat rabbit kidneys in a hazing ritual at a veterinarian school.

This film portrays the female cannibal as having lost control of her bodily impulses. Justine displays a loss of cognition that results in involuntary actions when confronted with raw flesh. One can observe parallels in this portrayal and that featured in earlier films Dans ma peau (In my Skin, 2002, dir. Marina de Van) and Trouble Every Day (2001, dir. Claire Denis). These two films are identified with the early twenty-first-century French ‘cinema of the body’ trend, which involves disturbing and horrific portrayals of alienated protagonists, sexual debasement and transgressive urges.

In my exploration of the mind/body divide featured in Grave, I’ll argue that the film moves away from portrayals of the cannibal in the two earlier films, as we now observe a female protagonist who is actively engaged in meaningful relationships with others. As such, Justine seeks connection rather than disconnection from those around her, with varying levels of success.

The purpose of this study seeks to identify the critical barriers for the deployment of Lean Construction (LC).

In order to identify the barriers of Lean Construction, a systematic review of the scientific literature was carried out, in addition to analysis of the content of papers presented at a major Lean Construction conference. After the barriers were identified, a Lawshe study was conducted with experts in Lean Construction to verify the criticality of each of the barriers encountered.

This study identified 83 potential pre-deployment barriers in the literature, of which eight were considered critical by the experts. The results of Lawshe study pointed that critical barriers refer to leadership characteristics, cultural aspects and structural aspects.

Variations in the assessment of the criticality of the barriers may occur from one country to another due to regional differences in the construction sector.

The implications of this study are recognizing and identifying the characteristics of an organization that can hinder Lean Construction allows these issues to be resolved before beginning the Lean journey.

This article is the first of its kind to assess the criticality of barriers to Lean Construction using a quantitative technique. Knowledge of this set of barriers provides both practical and theoretical readers with an increased chance of success in the deployment of an LC project.

Continuum‐atomistic modeling denotes a mixed approach combining the usual framework of continuum mechanics with atomistic features like e.g. interaction potentials. Thereby, the kinematics are typically characterized by the so called Cauchy‐Born rule representing atomic distance vectors in the spatial configuration as an affine mapping of the atomic distance vectors in the material configuration in terms of the local deformation gradient. The application of the Cauchy‐Born rule requires sufficiently homogeneous deformations of the underlying crystal. The model is no more valid if the deformation becomes inhomogeneous. By virtue of the Cauchy‐Born hypothesis, a localization criterion has been derived in terms of the loss of infinitesimal rank‐1 convexity of the strain energy density. According to this criterion, a numerical yield condition has been computed for two different interatomic energy functions. Therewith, the range of the Cauchy‐Born rule validity has been defined, since the strain energy density remains quasiconvex only within the computed yield surface. To provide a possibility to continue the simulation of material response after the loss of quasiconvexity, a relaxation procedure proposed by Tadmor et al. [1] leading necessarily to the development of microstructures has been used. Alternatively to the above mentioned criterion, a stability criterion has been applied to detect the critical deformation. For the study in the postcritical region, the path‐change procedure proposed by Wagner and Wriggers [2] has been adapted for the continuum‐atomistics and modified.