درخت حوزه‌های تخصصی

Structural design extends beyond merely creating forms to withstand forces; it incorporates various technical and non-technical elements within architectural design. The true value of structural knowledge emerges during the design process when these elements are thoroughly understood. Achieving this understanding necessitates the provision of diverse types of structural knowledge capable of informing design and analysis. Additionally, by exploring various structural design methodologies, two principal types of cognition — "geometric" and "numerical" — can significantly help designers navigate the complex requirements of structural design. This research aims to investigate the different forms of structured knowledge relevant to architectural design, ultimately addressing the central question of how geometric and numerical comprehension of structures contributes to the architectural design process. The research employs a descriptive-analytical method with a comparative study approach. It begins by defining and detailing the characteristics of geometric and numerical cognition within the design framework, subsequently elucidating their interrelationship in architectural design. Findings suggest that geometric and numerical cognitions of structures, articulated through distinct languages, correspond to various roles in designing mechanical and spatial aspects, as well as different levels of structural comprehension at various design stages. Geometric cognition, due to its linguistic proximity to the design step, has the capability to examine and apply structural knowledge from the initial stages of form design to its actual construction phase. On the other hand, numerical cognition primarily focuses on the detailed examination of the mechanical and load-bearing aspects of the structure in its analytical step.

Iran is one of the most hazard-prone and vulnerable countries to disasters, with recurrent earthquakes causing severe human and economic losses. Yet, recovery has often been shaped by emergency-driven decisions, inadequate documentation, and weak institutional memory. The 1990 Rudbar-Manjil earthquake, the first major disaster to occur after the Islamic Revolution, marked a turning point in disaster management and reconstruction history. While significant, most existing studies have centered on official perspectives, overlooking the lived experiences of affected populations and practitioners. This study addresses that gap by revisiting the earthquake through oral history to preserve intangible heritage and extract lessons for future recovery. Using a qualitative approach, 63 semi-structured interviews were conducted with officials, decision-makers, and residents between July 2021 and February 2022. Purposive and snowball sampling were used to identify participants until data saturation was achieved. Transcriptions were systematically coded and thematically analyzed. This process produced a multi-perspective narrative of recovery, revealing both achievements and enduring challenges across institutional, social, and community dimensions. The Rudbar–Manjil case shows that durable disaster recovery depends on preparedness, effective governance, and community engagement. Preparedness requires pre-disaster frameworks and a process-oriented approach linking response and recovery. Strong governance relies on streamlined, transparent institutions, inter-agency coordination, and systematic information management. Embedding risk reduction throughout recovery ensures sustainability. Ultimately, community involvement is crucial: striking a balance between local participation and technical oversight enhances legitimacy and resilience. Addressing technical, institutional, and social dimensions together creates more effective and enduring recovery outcomes.