Generative Urban Design in the Field of Infrastructure: An Optimizing Solution for Connecting Fier and Vlora County by a 600 m Bridge over Selenica River, Albania

The way we think about infrastructure is being completely changed by parametric and generative design. Meanwhile the contemporary urban planning process is often viewed as a complicated and fragmented workflow. The main goal is to optimize solutions with tens of thousands of variations while concurrently taking into consideration various limits. This Paper will discuss and demonstrate the use of a generative urban design framework at the local scale. Although relevant to infrastructure, generative design is not limited to architecture. And on the other hand, the construction sector is becoming more specialized and complex. The close cooperation between structural engineers, architects, urban planners and other stakeholders is a major driving force behind modern projects. The building site is cut off from architects and engineers, particularly in the digital age. To ensure a three-dimensional scope of work, digital models are therefore necessary. The difficulty is that the structural model and architectural model do not match up exactly. A generative design is therefore explained in the case of a bridge design. Bridges are effective structures that provide a variety of topologies, materials, and geometries. This paper examines how the geometry and topology of a 600 meters long bridge can bring an optimal solution for connecting two nearby counties, Fieri and Vlora. The performance of the bridge can be examined by altering the geometrical parameters in addition to the topology. By adding more design factors and offering a fresh method for bridge optimization, the study aims in further developing the initial parametric model. Since the process of changing the design is quite quick and the analysis is displayed instantly, using parametric design to study alternative options for bridges could be highly helpful to designers. Keywords: generative design, bridge, geometry, typology, optimization, deflection.