{"id":102645,"date":"2022-12-14T07:00:52","date_gmt":"2022-12-14T06:00:52","guid":{"rendered":"https:\/\/www.stradeeautostrade.it\/?p=102645"},"modified":"2022-12-22T11:25:48","modified_gmt":"2022-12-22T10:25:48","slug":"the-setting-up-of-milan-apms","status":"publish","type":"post","link":"https:\/\/www.stradeeautostrade.it\/en\/infrastructures-road-network\/the-setting-up-of-milan-apms\/","title":{"rendered":"The setting up of Milan APMS"},"content":{"rendered":"

\"\"\u00a0 The setting up of Milan APMS – Per la versione in Italiano: <\/em>https:\/\/www.stradeeautostrade.it\/pavimentazioni-e-manti\/apms-limplementazione-dellapms-degli-aeroporti-di-milano\/<\/a><\/p>\n

Pavements are critical assets for airports. Compared to those of road networks they must withstand heavier traffic and higher tires pressures; moreover, intelligent asset management is required to ensure high functional and structural characteristics while not impacting its operativity.<\/p>\n

This paper highlights the steps toward the implementation of the Milan Airports\u2019 Pavement Management System. Pavements of Malpensa are the most heavily loaded in Italy since the airport serves about the 70% of the cargo movements in the State. Linate, with single runway layout, is the city strategic Airport and serves mostly the small to medium range of connections towards Europe.<\/p>\n

The company underwent a complete survey for determining the functional parameters (PCI, IRI, Rut Depth, ETD, skid resistance) using a Multifunctional Vehicle and a structural campaign with HWD for runways, taxiways and aprons.<\/p>\n

Data were combined for the determination of homogeneous sections, having similar distress rates, bearing capacity and traffic, which form the basis for a multi-year maintenance planning.<\/p>\n

For the analysis purpose, a specific combination of softwares, ELMOD and Airports, were used aiming at minimizing the life-cycle cost of the assets while preserving high efficiency standards in compliance with international regulations.<\/p>\n

Hypothesis, trigger and acceptability levels, intervention types are presented together with examples of the APMS implementation on a 3 million m2 assets. The Airport Pavement Management System (APMS) is a comprehensive structure of plans and procedures which enable a sustainable management of airport pavements.<\/p>\n

The function of an APMS is to develop cost-effective strategies and, thus, direct decision-makers to maintain the pavements functionally over a given period. APMS follows a systematic procedure for determining needs and priorities, planning and schedules for maintenance, and required resource allocation. It delivers specific pavement network maintenance recommendations at an acceptable level of service after analyzing the collected information and optimizing the expenditures [1].<\/p>\n

\"An
1. Pavements are critical assets for airports<\/figcaption><\/figure>\n

The concepts of an APMS are well outlined in FAA AC150\/5380-7B [2], which uses the term Airport Pavement Management Program (PMP) and in TRB Circular E-C127 [1]. In 2015, the italian national civil aviation authority (ENAC) published a guideline for airport authorities for the implementation of APMS [3].<\/p>\n

An APMS must supply airport authorities with a detailed picture of the present and future structural and functional capabilities of their airside pavements and predicted Maintenance and Rehabilitation (M&R) measures over the total design life of each pavement section, including the required budgets.<\/p>\n

In order to be really effective, an APMS should not be reactive in the sense that it will respond to visual distresses only, but should be pro-active when it comes to predicting M&R requirements under the local climatic conditions, based on the actual loading by aircraft traffic as well as environmental [4].<\/p>\n

Deterioration models are the key factor for effective Pavement Management Systems, helping out road agencies to assess the actual pavement condition and forecast future performance of the asset [5]. Historically, most agencies responsible for managing airport pavements have made decisions regarding maintenance and rehabilitation (M&R) based on experience and best engineering practices [1].<\/p>\n

In the last decade several factors have encouraged the interest for smart asset management techniques. The availability of accurate technologies for pavements\u2019 surveys and evaluation, like spatial technologies (e.g. GIS) and the rise of material prices, especially crude oil derivates (which worsen after pandemic) has made the use of pavement management system particularly popular and recommended.<\/p>\n

Covalt et al. (2019) reviewed the state airport pavement management practices and airport pavement conditions in the United States from 2003 through 2016 [6]; findings shows that the APMS has become more diffused over the years with an adoption rate over 80% among US Airports.<\/p>\n

In 2005, the Shanghai airport pavement management system (SHAPMS) was introduced to develop Hongqiao and Pudong International Airports. Chen et al. (2012) conducted a study on the airport pavement management system to improve and develop the most appropriate maintenance and rehabilitation techniques in the airport pavement system [7].<\/p>\n

Different approaches have been taken into consideration to forecast pavement performance in Australia. Australia\u2019s currently available systems include ground-penetrating radar surveys, falling weight deflectometer (FWD) surveys and high-resolution surface scanning [8].\u00a0<\/strong><\/p>\n

\"Airside
2. Pavements of Malpensa are the most heavily loaded in Italy<\/figcaption><\/figure>\n

Brief history of Milan airports needs<\/h4>\n

The implementation of Milan airports\u2019 APMS effectively started in 2019, but ideas and best practices had been studied for years since before the publishing of ENAC guidelines to which SEA, the airport authority, gave its contribution SEA manage Linate (IATA code: LIN) and Malpensa (IATA code: MXP) which represent important Italian airports in terms of passengers served and goods movements, relying on the spread catchment area which covers a great part of the Northwest of Italy.<\/p>\n

Pavements of Malpensa are the most heavily loaded in Italy since the airport serves about the 70% of the cargo movements in the State; furthermore, the heavy movements have been steadily going up over the last years and the same is expected for the near future. Linate, with single runway, is the city strategic Airport and serves mostly the small to medium range of connections towards Europe.<\/p>\n

In 2018, before the spreading of pandemic, Linate reached 115,300 movements serving 9.23 million passengers, while Malpensa reached 194,500 movements serving 24.7 million passengers.<\/p>\n

The airside airports\u2019 assets in terms of runways, taxiways, and aprons (a mix of flexible and rigid pavements) sum up to 3 million sqm; consequently in 2019 the executive board made the decision to introduce the APMS to optimize the management and put in place the optimal solution for maintenance and rehabilitation activities to minimize the life-cycle cost of the assets while preserving high efficiency standards in compliance with international regulations.<\/p>\n

Besides the engineering enhancement of the pavements\u2019 asset management, an important target of the implementation would be the compliance to the guidelines by the National Civil Aviation Authority (ENAC, Ente Nazionale per l\u2019Aviazione Civile) about the adoption of APMS.<\/p>\n

The task was assigned to a global airport consultancy group on a three-years contract, which entailed a detailed a survey for determining the functional parameters (PCI, IRI, Rut Depth, ETD, skid resistance) via Multifunctional Vehicle and a structural campaign with HWD for both runways, taxiways, and aprons.<\/p>\n

The effort ended up in the development of a multi-year maintenance and rehabilitation plan, which is annually updated and revised by an Italian prestigious consultancy firm.\u00a0<\/strong><\/p>\n

Equipment<\/h5>\n

The data collection program entailed two different categories: functional and structural parameters. Measurements of functional condition, consisted of:<\/p>\n