• International conference on construction engineering and project management
• /
• 2011.02a
• /
• pp.74-83
• /
• 2011

This paper recognized a need in the architecture, engineering, and construction industry for new programs and methods of producing reliable energy simulations using BIM (Building Information Modeling) technology. Current methods and programs for running energy simulations are not very timely, difficult to understand, and lack high interoperability between the BIM software and energy simulation software. It is necessary to improve on these drawbacks as design decision are often made without the aid of energy modeling leading to the design and construction of non-optimized buildings with respect to energy efficiency. The goal of this research project is to develop a new methodology to produce energy estimates from a BIM model in a more timely fashion and to improve interoperability between the simulation engine and BIM software. In the proposed methodology, the extracted information from a BIM model is compiled into an INP file and run in a popular energy simulation program, DOE-2, on an hourly basis for a desired time period. Case study showed that the application of this methodology could be used to expediently provide energy simulations while at the same time reproducing the BIM in a more readably three dimensional modeling program. With the aid of an easy to run and easily understood energy simulation methodology, designers will be able to make more energy conscious decisions during the design phase and as changes in design requirements arise.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.25 no.4
• /
• pp.363-372
• /
• 2012

In this study, a new information-based hybrid modeling framework is proposed. In the hybrid framework, a conventional mathematical model is complemented by the informational methods. The basic premise of the proposed hybrid methodology is that not all features of system response are amenable to mathematical modeling, hence considering informational alternatives. This may be because (i) the underlying theory is not available or not sufficiently developed, or (ii) the existing theory is too complex and therefore not suitable for modeling within building frame analysis. The role of informational methods is to model aspects that the mathematical model leaves out. Autoprogressive algorithm and self-learning simulation extract the missing aspects from a system response. In a hybrid framework, experimental data is an integral part of modeling, rather than being used strictly for validation processes. The potential of the hybrid methodology is illustrated through modeling complex hysteretic behavior of beam-to-column connections.

• Nuclear Engineering and Technology
• /
• v.53 no.1
• /
• pp.103-110
• /
• 2021

In the development of a Risk Monitor probabilistic safety assessment (PSA) model from the basic PSA model of a nuclear power plant, the modeling of common-cause failure (CCF) is very important. At present, some approximate modeling methods are widely used, but there lacks criterion of modeling accuracy and error analysis. In this paper, aiming at ensuring the accuracy of risk assessment and minimizing the Risk Monitor PSA models size, we present three basic issues of CCF model resulted from the changes of a nuclear power plant configuration, put forward corresponding modeling methods, and derive accuracy criteria of CCF modeling based on minimum cut sets and risk indicators according to the requirements of risk monitoring. Finally, a nuclear power plant Risk Monitor PSA model is taken as an example to demonstrate the effectiveness of the proposed modeling method and accuracy criteria, and the application scope of the idea of this paper is also discussed.

• The KIPS Transactions:PartD
• /
• v.8D no.4
• /
• pp.401-408
• /
• 2001

Object-oriented software development methods are used to develop object-oriented software systems. Object-oriented systems are believed to habe better modularity, reusability, maintainability, and extensibility than systems modeled in conventional methods. Current object-oriented software development methods, however, are modeled in terms of procedural, functional, and structural models. There models cause problems such as tight coupling among activities, and uncontrolled access to global artifacts. In this paper, were introduce OMOS(Object-oriented software development Method for Object-oriented software System), an object-oriented modeling of object-oriented software development methods. Artifacts and their related activities are modeled as classes and objects. Development lifecycles are modeled as interactions among the objects. By modeling the software development method in an object-oriented way, OMOS achieves better reusability, flexibility, extensibility, and maintainability.

• Proceedings of the Korean Society for Rock Mechanics Conference
• /
• 2011.09a
• /
• pp.23-33
• /
• 2011

The key features of an intelligent and dynamic design methodology for rock engineering projects has been introduced and summarized firstly, which include some new functions such as intelligent recognition of mechanical rockmass parameters, strategies to select modeling methods and codes, integrated feedback modeling and information, and technical auditing in rock engineering design process. Then typical examples of applications of the dynamic design methodology in some large slopes, underground powerhouses in China are summarized. The discussions are given for the future of the methodology.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 1997.10a
• /
• pp.189-192
• /
• 1997

New product development is a complex managerial process which involves multiple functional groups, each with a different perspective. Quality function deployment (QFD) is a new product development process which stresses cross-functional integration. QFD provides a specific approach for ensuring quality through each stage of the product development and production process. This paper provides an overview of QFD including its concepts and methods, and then proposes an integrated approach to formulating and solving the QFD process. This paper also discusses issues associated with the prescriptive modeling of QFD.

• Structural Engineering and Mechanics
• /
• v.6 no.8
• /
• pp.955-969
• /
• 1998

Engineering problems are inherently imprecision tolerant. Biologically inspired soft computing methods are emerging as ideal tools for constructing intelligent engineering systems which employ approximate reasoning and exhibit imprecision tolerance. They also offer built-in mechanisms for dealing with uncertainty. The fundamental issues associated with engineering applications of the emerging soft computing methods are discussed, with emphasis on neural networks. A formalism for neural network representation is presented and recent developments on adaptive modeling of neural networks, specifically nested adaptive neural networks for constitutive modeling are discussed.

• Proceedings of the KSR Conference
• /
• 2007.11a
• /
• pp.982-988
• /
• 2007

The input data for the interior material of the train is one of the key points for enhancing the accuracy of fire simulation. In this study, we investigated the Fire Test Methods for the Fire Dynamic Simulator modeling for railroad passenger trains. We should get the thermal inputs such as ignition temperature, conductivity, specific heat, vaporization heat, effective heat release. With the simple conduction model for cone-calorimeter test, they could get more than HRR. Kinds of methodology were introduced for better thermal data for real material.

• Proceedings of the KIEE Conference
• /
• 2005.07b
• /
• pp.1492-1495
• /
• 2005

This paper presents a study on the modeling on the dimming control of electronic fluorescent lamp. The resulted models of the lamps were applied the two dimming control methods, one is the variable switching frequence and the other is the variable dc link voltage method. And the comparison of the dimming characteristics between the two methods was presented. Theoretical predictions were verified the experimental results on a 100w electrodeless fluorescent lamp.

• Korean Journal of Computational Design and Engineering
• /
• v.13 no.3
• /
• pp.187-199
• /
• 2008

This paper describes a C++ class hierarchy of implicit objects for geometry modeling and processing. This class structure provides a software kernel for integrating many various models and methods found in current implicit modeling areas. The software kernel includes primitive objects playing a role of unit element in creating a complex shape, and operator objects used to construct more complex shape of implicit object formed with the primitive objects and other operators. In this paper, class descriptions of these objects are provided to better understand the details of the algorithm or implementation, and its instance examples to show the capabilities of the object classes for constructive shape geometry. In addition, solid modeling system shown as an application example demonstrates that the proposed implicit object classes allow us to carry out modern solid modeling techniques, which means they have the capabilities to extend to various applications.