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Site plans are often prepared by a design consultant who must be either a licensed engineer, architect, landscape architect or land surveyor". [3] Site plans include site analysis, building elements, and planning of various types including transportation and urban. An example of a site plan is the plan for Indianapolis [4] by Alexander Ralston ...
Architectural design optimization (ADO) is a subfield of engineering that uses optimization methods to study, aid, and solve architectural design problems, such as optimal floorplan layout design, optimal circulation paths between rooms, sustainability and the like.
This is part of the research phase. The site design and site planning process begins with the initial problem to be solved. This is started by a client contracting a planner to work with a particular site. Analysis phase: The next step involves programming the site as well as site and user analysis, which is focused on in-depth below. There are ...
Facility condition assessment is an analysis of the condition of a facility in terms of age, design, construction methods, and materials. [1] [2] The individuals who perform the assessment are typically architects and engineers, and skilled-trade technicians.
Architectural analytics is a field of study focused on discovering and identifying meaningful patterns within architecture.Architectural analytics can include the systematic study of the elements and principles that constitute a building or structure, such as form, function, space planning, materials, technology, and cultural context, to understand its design, function, and cultural significance.
Architectural decisions influence and impact the non-functional characteristics of a system. Each architectural decision describes a concrete, architecturally significant design issue (a.k.a. design problem, decision required) for which several potential solutions (a.k.a. options, alternatives) exist.
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Utility-based probability maximization was developed in response to some logical concerns (e.g., Blau's Dilemma) with reliability-based design optimization. [4] This approach focuses on maximizing the joint probability of both the objective function exceeding some value and of all the constraints being satisfied.