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Flexible Pavement Design in Fontana: Geotechnical Engineering for Asphalt Roads

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When we mobilize the nuclear density gauge and the heavy-weight deflectometer along the I-10 corridor in Fontana, the conversation shifts immediately to the subgrade. Flexible pavement design here is not a catalog exercise. The alluvial fan deposits from Lytle Creek have created a subsurface mosaic of silty sands, loose gravels, and pockets of expansive clay that demand a careful structural coefficient analysis. In our experience, the asphalt layer thickness is only as reliable as the characterization of what lies beneath it. We combine dynamic cone penetrometer readings with laboratory CBR values to build a structural number that accounts for the 100°F-plus summer pavement temperatures common in the Inland Empire. A pavement section designed without considering the thermal gradient in the asphalt concrete layer will rut prematurely, and Fontana’s logistics hubs with constant truck traffic expose any design shortcut within the first two years of service.

A flexible pavement is a layered elastic system where the subgrade’s resilient modulus governs everything above it; ignoring seasonal moisture variation in Fontana’s silty soils is the fastest path to fatigue cracking.

How we work

Fontana’s transformation from rural citrus groves to a heavy industrial and warehousing powerhouse has placed extraordinary demands on its arterial road network. The city, home to over 210,000 residents, sits on Quaternary alluvium where the depth to groundwater varies dramatically between the northern foothills and the southern basin near the Santa Ana River. Flexible pavement design for a distribution center access road in this setting requires analyzing the resilient modulus of the subgrade under saturated conditions, not just at optimum moisture. We have seen projects where the design traffic in equivalent single axle loads exceeded 15 million ESALs over a 20-year period, pushing the structural number requirements well above typical municipal standards. Integrating CBR road testing during the subgrade preparation phase allows us to verify that the achieved compaction meets the assumed design parameters before the first ton of asphalt is placed.
Flexible Pavement Design in Fontana: Geotechnical Engineering for Asphalt Roads
Technical reference image — Fontana

Local geotechnical context

A 450,000-square-foot warehouse project off Slover Avenue taught us a lesson we carry into every flexible pavement design in Fontana. The geotechnical investigation identified a lens of fat clay at four feet depth under the proposed truck court, but the preliminary pavement design had assumed a uniform sandy subgrade. Without adjusting the structural section, the differential heave during the first wet winter would have created a washboard surface capable of damaging trailer landing gear. We redesigned the section with a thicker aggregate base, a geotextile separator, and lime treatment of the upper subgrade to control the plasticity index. The lesson is that a pavement is a structural system interacting with the ground, not a waterproofing membrane. In Fontana, where the annual precipitation is modest but comes in concentrated storm events, the drainage of the base course and the protection of the subgrade from moisture intrusion are as important as the asphalt thickness itself.

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Technical parameters

ParameterTypical value
Design Traffic (ESALs)Up to 30 million for arterial roads
Structural Number (SN)4.0 – 6.5 typical range
Asphalt Concrete Thickness4 – 10 inches (100 – 250 mm)
Subgrade Resilient Modulus (Mr)5,000 – 15,000 psi typical
Aggregate Base TypeClass 2 or Class 3 per Caltrans specs
Design MethodologyAASHTO 1993 / MEPDG
Temperature Range Considered30°F to 120°F surface
Drainage Coefficient0.8 – 1.2 depending on edge drains

Other technical services

01

AASHTO Structural Design

We develop the structural number and layer thicknesses using the AASHTO 93 empirical method, calibrated with local Caltrans performance data for the Inland Empire region. The design accounts for terminal serviceability, reliability level, and the effective resilient modulus of the subgrade.

02

Subgrade Evaluation and CBR Testing

Field CBR tests, dynamic cone penetrometer profiles, and laboratory soaked CBR determinations on undisturbed samples allow us to establish the design subgrade strength under worst-case moisture conditions, which is critical for Fontana’s silty alluvial soils.

03

MEPDG Performance Analysis

For high-value projects with long design lives, we use mechanistic-empirical pavement design to predict rutting, fatigue cracking, and thermal cracking based on local climate data and hourly truck traffic distributions.

Applicable standards

AASHTO 1993 Guide for Design of Pavement Structures, AASHTOWare Pavement ME Design (MEPDG), Caltrans Highway Design Manual Chapter 630, ASTM D1883 (California Bearing Ratio), ASTM D4694 (Deflection Testing with FWD), ASTM D1557 (Modified Proctor for Subgrade)

Quick answers

What is the typical cost range for a flexible pavement design in Fontana?
How does the high summer heat in Fontana affect flexible pavement design?

The asphalt concrete stiffness is highly temperature-dependent. At surface temperatures exceeding 120°F, the effective structural contribution of the asphalt layer decreases, shifting more load to the base and subgrade. Our designs incorporate the local temperature gradient to select the appropriate asphalt binder performance grade, typically PG 70-10 or higher for the Inland Empire, and we adjust the layer coefficients used in the structural number calculation accordingly.

What traffic data is needed for a pavement design on a warehouse truck court?

We need the average daily truck traffic by axle configuration, the directional distribution, the lane distribution factor, and the projected growth rate over the design life. For a distribution center in Fontana, the heavy vehicle mix often includes Class 9 five-axle tractor-semitrailers with loads near the legal limit, which translates to ESAL factors between 1.5 and 2.5 per truck pass.

How is the subgrade resilient modulus determined for the design?

The resilient modulus is typically correlated from laboratory CBR tests or measured directly through repeated load triaxial testing. For Fontana’s alluvial soils, we use the Caltrans correlation Mr (psi) = 2555 x CBR^0.64 as a starting point and validate it with falling weight deflectometer back-calculation on test sections when the project budget allows a more refined analysis.

Location and service area

We serve projects across Fontana and surrounding areas. More info.

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